Research topic

I want to find empirical studies published since 2019 that employ quantitative methods to analyze performance metrics (recall, precision, F1, etc.) for ChatGPT, GPT-3.5, or GPT-4 in screening papers by title and abstract for systematic reviews, while directly comparing their efficiency and accuracy against traditional screening methods.

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References

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Last 5 years
Last 2 years
> 1 citation per year
> 5 citations per year
Topic Match
Cit./Year
Year
Paper
Paper Relevance Summary

99.5%
0.0
2024
[1] Evaluating the Efficacy of Large Language Models for Systematic Review and Meta-Analysis Screening R. Luo, ..., and M. J. Deen medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 99.5% topic match
Provides a quantitative evaluation of GPT-3.5 Turbo's performance in systematic review screening. Compares GPT-3.5 Turbo against expert reviewers using metrics like F1-score, sensitivity, and specificity on 24,534 studies. Employs quantitative methods, but lacks direct comparison with traditional non-expert automated screening methods.
Provides a quantitative evaluation of GPT-3.5 Turbo's performance in systematic review screening. Compares GPT-3.5 Turbo against expert reviewers using metrics like F1-score, sensitivity, and specificity on 24,534 studies. Employs quantitative methods, but lacks direct comparison with traditional non-expert automated screening methods.

98.1%
0.0
2024
[2] Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews. Kentaro Matsui, ..., and Y. Takaesu Journal of medical Internet research 2024 - 0 citations - Show abstract - Cite 98.1% topic match
Compares GPT-3.5 and GPT-4 to human evaluators. Provides quantitative sensitivity and specificity metrics for systematic review screening. Lacks explicit direct comparison to traditional screening methods' efficiency and accuracy.
Compares GPT-3.5 and GPT-4 to human evaluators. Provides quantitative sensitivity and specificity metrics for systematic review screening. Lacks explicit direct comparison to traditional screening methods' efficiency and accuracy.

97.7%
8.8
2023
[3] Assessing the Ability of ChatGPT to Screen Articles for Systematic Reviews Eugene Syriani, ..., and Gauransh Kumar ArXiv 2023 - 12 citations - Show abstract - Cite - PDF 97.7% topic match
Compares ChatGPT and traditional methods in article screening. Evaluates ChatGPT's consistency, classification performance, and generalizability for systematic review automation against traditional classifiers. Published in 2023; employs quantitative analysis but focuses on ChatGPT, lacking mention of GPT-3.5 or GPT-4 models specifically.
Compares ChatGPT and traditional methods in article screening. Evaluates ChatGPT's consistency, classification performance, and generalizability for systematic review automation against traditional classifiers. Published in 2023; employs quantitative analysis but focuses on ChatGPT, lacking mention of GPT-3.5 or GPT-4 models specifically.

97.5%
0.0
2023
[4] Sensitivity, specificity and avoidable workload of using a large language models for title and abstract screening in systematic reviews and meta-analyses Viet-thi Tran, ..., and PhD Viet-Thi Tran - MD medRxiv 2023 - 0 citations - Show abstract - Cite - PDF 97.5% topic match
Provides quantitative analysis of GPT-3.5's performance in screening abstracts. Compares GPT-3.5-Turbo's sensitivity and specificity to manual screening in systematic reviews. Focuses on avoidable workload but lacks analysis against traditional screening efficiency metrics like precision or F1.
Provides quantitative analysis of GPT-3.5's performance in screening abstracts. Compares GPT-3.5-Turbo's sensitivity and specificity to manual screening in systematic reviews. Focuses on avoidable workload but lacks analysis against traditional screening efficiency metrics like precision or F1.

96.7%
0.0
2023
[5] Development of meta-prompts for Large Language Models to screen titles and abstracts for diagnostic test accuracy reviews Y. Kataoka, ..., and T. A. Furukawa medRxiv 2023 - 0 citations - Show abstract - Cite - PDF 96.7% topic match
Provides empirical sensitivity and specificity metrics for GPT-3.5 and GPT-4. Shows GPT models' performance in screening abstracts for diagnostic test accuracy systematic reviews. Does not directly compare GPT models' efficiency or accuracy against traditional methods.
Provides empirical sensitivity and specificity metrics for GPT-3.5 and GPT-4. Shows GPT models' performance in screening abstracts for diagnostic test accuracy systematic reviews. Does not directly compare GPT models' efficiency or accuracy against traditional methods.

96.4%
16.7
2023
[6] Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study Eddie Guo, ..., and C. Naugler Journal of Medical Internet Research 2023 - 26 citations - Show abstract - Cite - PDF 96.4% topic match
Evaluates GPT-4 in screening clinical review papers. Compares GPT-4's effectiveness against human reviewers using quantitative metrics. Focuses on accuracy and efficiency but lacks traditional method comparison.
Evaluates GPT-4 in screening clinical review papers. Compares GPT-4's effectiveness against human reviewers using quantitative metrics. Focuses on accuracy and efficiency but lacks traditional method comparison.

95.2%
0.0
2024
[7] Comparison of large language models for citation screening: A protocol for a prospective study T. Oami, ..., and T.-a. Nakada medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 95.2% topic match
Compares GPT-4 with traditional citation screening methods. Evaluates accuracy, efficiency, and cost for citation screening using GPT-4 and compares it to conventional techniques. Includes sensitivity and specificity comparisons but lacks explicit mention of recall, precision, or F1 score metrics.
Compares GPT-4 with traditional citation screening methods. Evaluates accuracy, efficiency, and cost for citation screening using GPT-4 and compares it to conventional techniques. Includes sensitivity and specificity comparisons but lacks explicit mention of recall, precision, or F1 score metrics.

93.8%
0.0
2024
[8] Performance of a Large Language Model in Screening Citations T. Oami, ..., and T.-a. Nakada JAMA Network Open 2024 - 0 citations - Show abstract - Cite 93.8% topic match
Shows LLM can improve citation screening in systematic reviews. Demonstrates significant reduction in screening time with reasonable accuracy and specificity compared to traditional methods. Does not specify if ChatGPT, GPT-3.5, or GPT-4 is used; comparison with traditional methods is discussed, but model specifics are unclear.
Shows LLM can improve citation screening in systematic reviews. Demonstrates significant reduction in screening time with reasonable accuracy and specificity compared to traditional methods. Does not specify if ChatGPT, GPT-3.5, or GPT-4 is used; comparison with traditional methods is discussed, but model specifics are unclear.

92.1%
0.0
2024
[9] Sensitivity and Specificity of Using GPT-3.5 Turbo Models for Title and Abstract Screening in Systematic Reviews and Meta-analyses Viet-Thi Tran, ..., and Philippe Ravaud Annals of Internal Medicine 2024 - 0 citations - Show abstract - Cite 92.1% topic match
Shows potential of GPT-3.5 Turbo in screening tasks. Examines sensitivity, specificity, and efficiency as a second reviewer in systematic reviews, highlighting trade-offs in false positives. Lacks direct quantitative comparison with traditional methods and focuses on qualitative trade-offs.
Shows potential of GPT-3.5 Turbo in screening tasks. Examines sensitivity, specificity, and efficiency as a second reviewer in systematic reviews, highlighting trade-offs in false positives. Lacks direct quantitative comparison with traditional methods and focuses on qualitative trade-offs.

91.3%
17.7
2023
[10] Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages Qusai Khraisha, ..., and Kristin Hadfield Research synthesis methods 2023 - 19 citations - Show abstract - Cite - PDF 91.3% topic match
Shows GPT-4's efficacy in systematic review screening and extraction. Compares GPT-4's performance to humans, highlighting robustness with reliable prompts in unbalanced datasets. While it discusses GPT-4's screening performance, there's no direct comparison with traditional screening methods mentioned.
Shows GPT-4's efficacy in systematic review screening and extraction. Compares GPT-4's performance to humans, highlighting robustness with reliable prompts in unbalanced datasets. While it discusses GPT-4's screening performance, there's no direct comparison with traditional screening methods mentioned.

90.8%
0.0
2024
[11] The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews Aleksi Huotala, ..., and Mika Mäntylä Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering 2024 - 0 citations - Show abstract - Cite - PDF 90.8% topic match
Compares GPT-3.5 and GPT-4 in systematic review screening. Evaluates performance with various prompting techniques against traditional human screening methods. Focuses on qualitative aspects more, not specifically on empirical quantitative metrics like precision or F1 score.
Compares GPT-3.5 and GPT-4 in systematic review screening. Evaluates performance with various prompting techniques against traditional human screening methods. Focuses on qualitative aspects more, not specifically on empirical quantitative metrics like precision or F1 score.

88.4%
0.8
2023
[12] Utilizing ChatGPT to select literature for meta-analysis shows workload reduction while maintaining a similar recall level as manual curation PhD Xiangming Cai, ..., and Prof. Duolao Wang medRxiv 2023 - 1 citations - Show abstract - Cite - PDF 88.4% topic match
Shows ChatGPT reduces workload in meta-analysis literature selection. Employs quantitative measures including recall, precision, and F1 score to evaluate effectiveness. Does not mention direct comparison with traditional screening methods, potentially lacking in full relevance.
Shows ChatGPT reduces workload in meta-analysis literature selection. Employs quantitative measures including recall, precision, and F1 score to evaluate effectiveness. Does not mention direct comparison with traditional screening methods, potentially lacking in full relevance.

83.3%
0.0
2023
[13] Citation screening using large language models for creating clinical practice guidelines: A protocol for a prospective study T. Oami, ..., and T.-a. Nakada medRxiv 2023 - 0 citations - Show abstract - Cite - PDF 83.3% topic match
Provides a comparative analysis of GPT-4 for citation screening. Compares efficiency and accuracy of GPT-4 against traditional methods for clinical guideline screening. Focuses on efficiency and sensitivity, mentioning workload reduction, but lacks detailed recall, precision, and F1 metrics analysis.
Provides a comparative analysis of GPT-4 for citation screening. Compares efficiency and accuracy of GPT-4 against traditional methods for clinical guideline screening. Focuses on efficiency and sensitivity, mentioning workload reduction, but lacks detailed recall, precision, and F1 metrics analysis.

82.5%
1.0
2023
[14] Automated title and abstract screening for scoping reviews using the GPT-4 Large Language Model David Wilkins ArXiv 2023 - 1 citations - Show abstract - Cite - PDF 82.5% topic match
Introduces GPT-4 for automated screening in scoping reviews. Uses GPTscreenR to evaluate performance, showing 71% sensitivity, 89% specificity, 84% accuracy. Focuses on GPT-4 without direct comparison to traditional methods, so partially relevant.
Introduces GPT-4 for automated screening in scoping reviews. Uses GPTscreenR to evaluate performance, showing 71% sensitivity, 89% specificity, 84% accuracy. Focuses on GPT-4 without direct comparison to traditional methods, so partially relevant.

80.2%
0.0
2024
[15] A Hybrid Semi-Automated Workflow for Systematic and Literature Review Processes with Large Language Model Analysis Anjia Ye, ..., and Scott Pedersen Future Internet 2024 - 0 citations - Show abstract - Cite - PDF 80.2% topic match
Develops a hybrid LLM-human approach for systematic reviews. Combines GPT-4/ChatGPT with human oversight to improve efficiency and accuracy in screening processes. Does not provide direct quantitative comparison of performance metrics versus traditional methods.
Develops a hybrid LLM-human approach for systematic reviews. Combines GPT-4/ChatGPT with human oversight to improve efficiency and accuracy in screening processes. Does not provide direct quantitative comparison of performance metrics versus traditional methods.

80.0%
6.0
2024
[16] Hallucination Rates and Reference Accuracy of ChatGPT and Bard for Systematic Reviews: Comparative Analysis Michaël Chelli, ..., and C. Ruetsch-Chelli Journal of Medical Internet Research 2024 - 3 citations - Show abstract - Cite - PDF 80.0% topic match
Provides a comparative analysis of ChatGPT and Bard for systematic reviews. Evaluates recall, precision, F1-score, and hallucination rates against human-conducted reviews. Examines GPT-3.5 and GPT-4 performance; lacks direct comparison with traditional screening methods.
Provides a comparative analysis of ChatGPT and Bard for systematic reviews. Evaluates recall, precision, F1-score, and hallucination rates against human-conducted reviews. Examines GPT-3.5 and GPT-4 performance; lacks direct comparison with traditional screening methods.

79.9%
1.1
2023
[17] A Novel Question-Answering Framework for Automated Citation Screening Using Large Language Models N. O. Akinseloyin, ..., and Vasile Palade medRxiv 2023 - 1 citations - Show abstract - Cite - PDF 79.9% topic match
Demonstrates ChatGPT's capabilities in automated citation screening. ChatGPT-based zero-shot approaches compared favorably to complex and fine-tuned models across multiple systematic review datasets. The study uses performance metrics but does not directly compare ChatGPT with traditional screening methods quantitatively.
Demonstrates ChatGPT's capabilities in automated citation screening. ChatGPT-based zero-shot approaches compared favorably to complex and fine-tuned models across multiple systematic review datasets. The study uses performance metrics but does not directly compare ChatGPT with traditional screening methods quantitatively.

78.9%
0.0
2024
[18] AID-SLR: A Generative Artificial Intelligence-Driven Automated System for Systematic Literature Review PhD Kyeryoung Lee, ..., and PhD Xiaoyan Wang medRxiv 2024 - 0 citations - Show abstract - Cite 78.9% topic match
Compares GPT-4 and GPT-4o performance in data extraction. High precision, recall, and F1 scores achieved for screening articles. Focuses on qualitative error evaluation; lacks direct comparison to traditional methods.
Compares GPT-4 and GPT-4o performance in data extraction. High precision, recall, and F1 scores achieved for screening articles. Focuses on qualitative error evaluation; lacks direct comparison to traditional methods.

77.9%
0.0
2024
[19] A105 PILOT STUDY ON THE ACCURACY OF CHATGPT IN ARTICLE SCREENING FOR SYSTEMATIC REVIEWS IN GASTROENTEROLOGY C. Na, ..., and S. Grover Journal of the Canadian Association of Gastroenterology 2024 - 0 citations - Show abstract - Cite 77.9% topic match
Assesses ChatGPT 3.5's accuracy in systematic review screening. Evaluates ChatGPT 3.5's ability to screen gastroenterology articles against human expert reviews in recent systematic reviews. No explicit comparison with traditional methods or detailed performance metrics like precision and recall.
Assesses ChatGPT 3.5's accuracy in systematic review screening. Evaluates ChatGPT 3.5's ability to screen gastroenterology articles against human expert reviews in recent systematic reviews. No explicit comparison with traditional methods or detailed performance metrics like precision and recall.

65.6%
25.5
2023
[20] Harnessing the Power of ChatGPT for Automating Systematic Review Process: Methodology, Case Study, Limitations, and Future Directions Ahmad Alshami, ..., and T. Zayed Syst. 2023 - 35 citations - Show abstract - Cite - PDF 65.6% topic match
Provides a quantitative evaluation of ChatGPT for systematic review screening. Shows ChatGPT achieving 88% accuracy and F-1 scores of 91% and 88% in discarding and classifying articles. Does not directly compare ChatGPT to traditional screening methods; limitations noted in article extraction suitability.
Provides a quantitative evaluation of ChatGPT for systematic review screening. Shows ChatGPT achieving 88% accuracy and F-1 scores of 91% and 88% in discarding and classifying articles. Does not directly compare ChatGPT to traditional screening methods; limitations noted in article extraction suitability.

58.8%
0.0
2023
[21] Accelerating literature screening for systematic literature reviews with Large Language Models - development, application, and first evaluation of a solution Paul Herbst and Henning Baars Lernen, Wissen, Daten, Analysen 2023 - 0 citations - Show abstract - Cite 58.8% topic match
Proposes and evaluates an LLM solution for literature screening. The paper implements and tests LLMs for abstract screening, highlighting automation potential for systematic literature reviews. Does not specify models like ChatGPT or GPT-4, nor details on quantitative performance metrics.
Proposes and evaluates an LLM solution for literature screening. The paper implements and tests LLMs for abstract screening, highlighting automation potential for systematic literature reviews. Does not specify models like ChatGPT or GPT-4, nor details on quantitative performance metrics.

58.8%
0.0
2024
[22] Accuracy and reliability of data extraction for systematic reviews using large language models: A protocol for a prospective study T. Oami, ..., and T.-a. Nakada medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 58.8% topic match
Evaluates LLMs for data extraction accuracy in systematic reviews. Focuses on GPT-4 Turbo, Claude 3, Gemini 1.5 Pro, assessing accuracy and task completion time. Lacks direct comparison against traditional screening methods or quantitative performance metrics like precision, recall, or F1 score.
Evaluates LLMs for data extraction accuracy in systematic reviews. Focuses on GPT-4 Turbo, Claude 3, Gemini 1.5 Pro, assessing accuracy and task completion time. Lacks direct comparison against traditional screening methods or quantitative performance metrics like precision, recall, or F1 score.

48.0%
1.5
2024
[23] Methodological insights into ChatGPT’s screening performance in systematic reviews Mahbod Issaiy, ..., and K. Firouznia BMC Medical Research Methodology 2024 - 1 citations - Show abstract - Cite - PDF 48.0% topic match

46.8%
2.8
2024
[24] Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews Lucas Joos, ..., and M. T. Fischer ArXiv 2024 - 1 citations - Show abstract - Cite - PDF 46.8% topic match
Shows potential of LLMs for efficient literature review filtering. Compares GPT-4o and other LLMs to human performance in screening over 8.3k articles. Lacks specific mention of performance metrics like precision, recall, F1 score, or direct quantitative comparison with traditional methods.
Shows potential of LLMs for efficient literature review filtering. Compares GPT-4o and other LLMs to human performance in screening over 8.3k articles. Lacks specific mention of performance metrics like precision, recall, F1 score, or direct quantitative comparison with traditional methods.

42.5%
4.0
2024
[25] Evaluating the effectiveness of large language models in abstract screening: a comparative analysis Michael Li, ..., and Xianming Tan Systematic Reviews 2024 - 1 citations - Show abstract - Cite 42.5% topic match

42.0%
0.0
2024
[26] A question-answering framework for automated abstract screening using large language models. Opeoluwa Akinseloyin, ..., and Vasile Palade Journal of the American Medical Informatics Association : JAMIA 2024 - 0 citations - Show abstract - Cite 42.0% topic match
Provides a zero-shot QA framework for abstract screening using GPT-3.5. Transform selection criteria into questions to enhance abstract screening efficacy, outperforming traditional methods and BERT-family models. Focuses on GPT-3.5, utilizing empirical evaluations but lacks direct mention of performance metrics like recall or precision against traditional methods.
Provides a zero-shot QA framework for abstract screening using GPT-3.5. Transform selection criteria into questions to enhance abstract screening efficacy, outperforming traditional methods and BERT-family models. Focuses on GPT-3.5, utilizing empirical evaluations but lacks direct mention of performance metrics like recall or precision against traditional methods.

41.2%
6.5
2023
[27] Applications of the Natural Language Processing Tool ChatGPT in Clinical Practice: Comparative Study and Augmented Systematic Review Nikolas Schopow, ..., and David Baur JMIR Medical Informatics 2023 - 10 citations - Show abstract - Cite - PDF 41.2% topic match
Compares ChatGPT and human researchers in systematic review tasks. Evaluates agreement using Fleiss and Cohen κ statistics for parameter extraction. Focuses on extracting information from clinical articles, lacks use of quantitative performance metrics like precision or recall.
Compares ChatGPT and human researchers in systematic review tasks. Evaluates agreement using Fleiss and Cohen κ statistics for parameter extraction. Focuses on extracting information from clinical articles, lacks use of quantitative performance metrics like precision or recall.

31.9%
1.5
2024
[28] Large Language Model in Medical Information Extraction from Titles and Abstracts with Prompt Engineering Strategies: A Comparative Study of GPT-3.5 and GPT-4 Y. Tang, ..., and Research Data Collaboration Task Force medRxiv 2024 - 1 citations - Show abstract - Cite - PDF 31.9% topic match
Compares GPT-3.5 and GPT-4 in information extraction. Uses BERTScore, ROUGE-1, and GPT-4.0 evaluator for performance metrics. Lacks direct comparison to traditional screening methods for systematic reviews.
Compares GPT-3.5 and GPT-4 in information extraction. Uses BERTScore, ROUGE-1, and GPT-4.0 evaluator for performance metrics. Lacks direct comparison to traditional screening methods for systematic reviews.

27.1%
0.0
2024
[29] How well it works: Benchmarking performance of GPT models on medical natural language processing tasks ScD Kathryn Rough, ..., and PhD Benjamin Hughes medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 27.1% topic match
Compares GPT models on medical NLP tasks using performance metrics. Reports F1 scores for GPT-4 and GPT-3.5 across several medical coding and information extraction tasks. Does not focus solely on screening for systematic reviews or comparisons with traditional methods.
Compares GPT models on medical NLP tasks using performance metrics. Reports F1 scores for GPT-4 and GPT-3.5 across several medical coding and information extraction tasks. Does not focus solely on screening for systematic reviews or comparisons with traditional methods.

24.6%
8.0
2023
[30] Enhancing title and abstract screening for systematic reviews with GPT-3.5 turbo Omid Kohandel Gargari, ..., and Reza Samiee BMJ Evidence-Based Medicine 2023 - 8 citations - Show abstract - Cite - PDF 24.6% topic match

24.1%
4.7
2024
[31] Zero-shot Generative Large Language Models for Systematic Review Screening Automation Shuai Wang, ..., and G. Zuccon ArXiv 2024 - 4 citations - Show abstract - Cite - PDF 24.1% topic match
Evaluates zero-shot LLMs for systematic review screening automation. Investigates using eight LLMs with calibration for improved recall thresholds in systematic reviews. Lacks direct comparison to traditional screening methods and specific mention of GPT-3.5 or GPT-4 efficiency metrics.
Evaluates zero-shot LLMs for systematic review screening automation. Investigates using eight LLMs with calibration for improved recall thresholds in systematic reviews. Lacks direct comparison to traditional screening methods and specific mention of GPT-3.5 or GPT-4 efficiency metrics.

22.0%
4.7
2021
[32] Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study Shuai Wang, ..., and G. Zuccon ArXiv 2021 - 14 citations - Show abstract - Cite - PDF 22.0% topic match

21.7%
0.0
2024
[33] Automating Clinical Trial Eligibility Screening: Quantitative Analysis of GPT Models versus Human Expertise Arti Devi, ..., and Varun Dutt Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments 2024 - 0 citations - Show abstract - Cite 21.7% topic match

20.9%
0.0
2024
[34] Exploring the use of generative artificial intelligence in systematic searching: A comparative case study of a human librarian, ChatGPT-4 and ChatGPT-4 Turbo X. Chen and Yali Feng IFLA Journal 2024 - 0 citations - Show abstract - Cite 20.9% topic match
Compares ChatGPT-4 and a human librarian in systematic review tasks. Analyzes search-term-generation and article-retrieval efficiency, highlighting AI's role in automating repetitive tasks. Lacks quantitative performance metric analysis and direct comparison with traditional screening methods in systematic reviews.
Compares ChatGPT-4 and a human librarian in systematic review tasks. Analyzes search-term-generation and article-retrieval efficiency, highlighting AI's role in automating repetitive tasks. Lacks quantitative performance metric analysis and direct comparison with traditional screening methods in systematic reviews.

17.3%
0.0
2024
[35] Screening oncology articles in a qualitative literature review using large language models: A comparison of GPT4 versus fine-tuned open source models using expert-annotated data. Kristian Thorlund, ..., and Stacie Hudgens Journal of Clinical Oncology 2024 - 0 citations - Show abstract - Cite 17.3% topic match
Provides a comparison of GPT-4 with a fine-tuned model. Evaluates GPT-4's performance using F1-scores and precision in screening oncology articles. Lacks direct comparison to traditional screening methods and focuses on qualitative literature review screening.
Provides a comparison of GPT-4 with a fine-tuned model. Evaluates GPT-4's performance using F1-scores and precision in screening oncology articles. Lacks direct comparison to traditional screening methods and focuses on qualitative literature review screening.

16.8%
1.2
2021
[36] Artificial intelligence supports literature screening in medical guideline development: towards up-to-date medical guidelines. W. Harmsen, ..., and R. Schoot https://doi.org/10.5281/ZENODO.5031907 2021 - 4 citations - Show abstract - Cite 16.8% topic match

16.1%
45.3
2023
[37] Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation? Riaz Qureshi, ..., and Eitan S. Agai Systematic Reviews 2023 - 71 citations - Show abstract - Cite - PDF 16.1% topic match

15.1%
0.0
2024
[38] Large language models for abstract screening in systematic- and scoping reviews: A diagnostic test accuracy study C. H. Krag, ..., and Felix C Müller medRxiv 2024 - 0 citations - Show abstract - Cite 15.1% topic match

14.9%
4.0
2023
[39] Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews Hye Sun Yun, ..., and Byron Wallace Conference on Empirical Methods in Natural Language Processing 2023 - 6 citations - Show abstract - Cite - PDF 14.9% topic match

14.0%
2.5
2024
[40] Accelerating Clinical Evidence Synthesis with Large Language Models Zifeng Wang, ..., and Jimeng Sun ArXiv 2024 - 1 citations - Show abstract - Cite - PDF 14.0% topic match
Shows an LLM-based system improving clinical evidence synthesis. It demonstrates TrialMind's higher efficiency than GPT-4 in clinical tasks, tested by human evaluation. No direct comparison of GPT models to traditional systematic review screening methods is mentioned.
Shows an LLM-based system improving clinical evidence synthesis. It demonstrates TrialMind's higher efficiency than GPT-4 in clinical tasks, tested by human evaluation. No direct comparison of GPT models to traditional systematic review screening methods is mentioned.

13.3%
1.4
2024
[41] Enhancing systematic reviews in orthodontics: a comparative examination of GPT-3.5 and GPT-4 for generating PICO-based queries with tailored prompts and configurations. Gizem Boztaş Demir, ..., and S. Görgülü European journal of orthodontics 2024 - 1 citations - Show abstract - Cite 13.3% topic match

12.5%
5.9
2023
[42] Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation Shuai Wang, ..., and G. Zuccon Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region 2023 - 7 citations - Show abstract - Cite - PDF 12.5% topic match
Explores NLP models for systematic review screening prioritization. Compares BERT with generative models like ChatGPT for effective query generation using available pre-screening information. Lacks quantitative performance metrics or direct comparison with traditional screening methods, focusing instead on query generation.
Explores NLP models for systematic review screening prioritization. Compares BERT with generative models like ChatGPT for effective query generation using available pre-screening information. Lacks quantitative performance metrics or direct comparison with traditional screening methods, focusing instead on query generation.

12.0%
3.1
2023
[43] Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation Ambrose Robinson, ..., and Xingyi Song ArXiv 2023 - 4 citations - Show abstract - Cite - PDF 12.0% topic match

11.8%
2.0
2023
[44] ChatGPT for assessing risk of bias of randomized trials using the RoB 2.0 tool: A methods study T. Pitre, ..., and D. Zeraatkar medRxiv 2023 - 2 citations - Show abstract - Cite - PDF 11.8% topic match

11.7%
9.0
2023
[45] ChatGPT and the Future of Journal Reviews: A Feasibility Study Som Biswas, ..., and Harris L. Cohen The Yale Journal of Biology and Medicine 2023 - 11 citations - Show abstract - Cite - PDF 11.7% topic match

11.3%
3.5
2022
[46] Automating Systematic Literature Reviews with Natural Language Processing and Text Mining: a Systematic Literature Review G. Sundaram and D. Berleant ArXiv 2022 - 7 citations - Show abstract - Cite - PDF 11.3% topic match

10.6%
2.1
2023
[47] Using LLM (Large Language Model) to Improve Efficiency in Literature Review for Undergraduate Research Shouvik Ahmed Antu, ..., and Cindy K. Richards Journal Not Provided 2023 - 4 citations - Show abstract - Cite 10.6% topic match

10.3%
4.6
2023
[48] Leveraging the Potential of Generative AI to Accelerate Systematic Literature Reviews: An Example in the Area of Educational Technology Pablo Castillo-Segura, ..., and Carmen Fernández Panadero 2023 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC) 2023 - 5 citations - Show abstract - Cite 10.3% topic match

9.8%
0.0
2024
[49] Streamlining the Selection Phase of Systematic Literature Reviews (SLRs) Using AI-Enabled GPT-4 Assistant API Seyed Mohammad Ali Jafari ArXiv 2024 - 0 citations - Show abstract - Cite - PDF 9.8% topic match

9.4%
0.0
2023
[50] Which AI Technique Is Better to Classify Requirements? An Experiment with SVM, LSTM, and ChatGPT Abdelkarim El-Hajjami, ..., and Camille Salinesi ArXiv 2023 - 0 citations - Show abstract - Cite - PDF 9.4% topic match

9.2%
6.5
2024
[51] A Quantitative Assessment of ChatGPT as a Neurosurgical Triaging Tool. Max Ward, ..., and Griffin R Baum Neurosurgery 2024 - 5 citations - Show abstract - Cite 9.2% topic match

9.2%
0
None
[52] A Novel Question-Answering Framework for Automated Abstract Screening Using Large Language Models Xiaorui Jiang, ..., and Opeoluwa Akinseloyin Journal Not Provided None - 0 citations - Show abstract - Cite 9.2% topic match

8.8%
0.0
2024
[53] Performance of two large language models for data extraction in evidence synthesis. Amanda Konet, ..., and Robert Chew Research synthesis methods 2024 - 0 citations - Show abstract - Cite 8.8% topic match

8.8%
2.3
2024
[54] Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain Fabio Dennstädt, ..., and Nikola Cihoric Systematic Reviews 2024 - 1 citations - Show abstract - Cite - PDF 8.8% topic match

8.6%
6.7
2023
[55] Reducing Literature Screening Workload With Machine Learning Tanja Burgard and André Bittermann Zeitschrift für Psychologie 2023 - 12 citations - Show abstract - Cite 8.6% topic match

8.5%
5.6
2023
[56] PRISMA-DFLLM: An Extension of PRISMA for Systematic Literature Reviews using Domain-specific Finetuned Large Language Models Teo Susnjak ArXiv 2023 - 8 citations - Show abstract - Cite - PDF 8.5% topic match

8.4%
2.2
2024
[57] A Critical Assessment of Large Language Models for Systematic Reviews: Utilizing ChatGPT for Complex Data Extraction Hesam Mahmoudi, ..., and Mohammad S. Jalali SSRN Electronic Journal 2024 - 2 citations - Show abstract - Cite 8.4% topic match

8.3%
0.0
2024
[58] Exploring the use of a Large Language Model for data extraction in systematic reviews: a rapid feasibility study Lena Schmidt, ..., and James Thomas ArXiv 2024 - 0 citations - Show abstract - Cite - PDF 8.3% topic match

8.3%
2.2
2024
[59] Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing Tasks Ruiyang Zhou, ..., and Kai Yu International Conference on Language Resources and Evaluation 2024 - 2 citations - Show abstract - Cite - PDF 8.3% topic match

8.2%
40.1
2021
[60] Automation of systematic literature reviews: A systematic literature review Raymon van Dinter, ..., and C. Catal Inf. Softw. Technol. 2021 - 146 citations - Show abstract - Cite - PDF 8.2% topic match

8.2%
11.3
2023
[61] Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study Emre Sezgin, ..., and Sarah Keim Journal of Medical Internet Research 2023 - 17 citations - Show abstract - Cite - PDF 8.2% topic match

8.0%
3.3
2024
[62] Utilizing Large Language Models for Enhanced Clinical Trial Matching: A Study on Automation in Patient Screening Jacob Beattie, ..., and M. Dohopolski Cureus 2024 - 2 citations - Show abstract - Cite - PDF 8.0% topic match

7.9%
0.0
2024
[63] Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study Dan Li, ..., and Joshua Xu Frontiers in Drug Safety and Regulation 2024 - 0 citations - Show abstract - Cite 7.9% topic match

7.5%
0.0
2019
[64] Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study (Preprint) Muhammad Afzal, ..., and Sungyoung Lee https://doi.org/10.2196/preprints.13430 2019 - 0 citations - Show abstract - Cite 7.5% topic match

7.4%
0.0
2024
[65] Prompting is all you need: LLMs for systematic review screening C. Cao, ..., and N. Bobrovitz medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 7.4% topic match

7.3%
0.0
2024
[66] Comparative Analysis of Performance of Large Language Models in Urogynecology. Ghanshyam S Yadav, ..., and Charles W Nager Urogynecology 2024 - 0 citations - Show abstract - Cite 7.3% topic match

7.2%
3.2
2023
[67] Trustworthiness of Systematic Review Automation - An interview at Coventry University X. Jiang medRxiv 2023 - 3 citations - Show abstract - Cite - PDF 7.2% topic match

7.1%
0.0
2024
[68] Benchmarking Human-AI Collaboration for Common Evidence Appraisal Tools MD Tim Woelfle, ..., and M. M. Lars G. Hemkens medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 7.1% topic match

7.0%
2.5
2024
[69] Can ChatGPT evaluate research quality? Mike Thelwall Journal of Data and Information Science 2024 - 2 citations - Show abstract - Cite - PDF 7.0% topic match

7.0%
0.0
2024
[70] Analysis of the Effectiveness of Large Language Models in Assessing Argumentative Writing and Generating Feedback Daisy Cristine Albuquerque da Silva, ..., and Ana Garcia International Conference on Agents and Artificial Intelligence 2024 - 0 citations - Show abstract - Cite 7.0% topic match

7.0%
66.7
2023
[71] Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? Shuai Wang, ..., and G. Zuccon Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval 2023 - 120 citations - Show abstract - Cite - PDF 7.0% topic match

6.9%
3.1
2024
[72] Data Extraction from Free-Text Reports on Mechanical Thrombectomy in Acute Ischemic Stroke Using ChatGPT: A Retrospective Analysis. N. Lehnen, ..., and D. Paech Radiology 2024 - 2 citations - Show abstract - Cite 6.9% topic match

6.5%
1.4
2024
[73] AI Insights: A Case Study on Utilizing ChatGPT Intelligence for Research Paper Analysis Anjalee de Silva, ..., and Weranga Rajapaksha ArXiv 2024 - 1 citations - Show abstract - Cite - PDF 6.5% topic match

6.5%
9.5
2020
[74] Biceps Tenodesis versus Tenotomy: A Systematic Review and Meta-Analysis of Level I Randomized Controlled Trials. J. W. Belk, ..., and E. McCarty Journal of shoulder and elbow surgery 2020 - 37 citations - Show abstract - Cite 6.5% topic match

6.4%
3.8
2024
[75] Retrieval Augmented Generation Enabled Generative Pre-Trained Transformer 4 (GPT-4) Performance for Clinical Trial Screening Ozan Unlu, ..., and Samuel J. Aronson medRxiv 2024 - 3 citations - Show abstract - Cite 6.4% topic match

6.4%
0.6
2023
[76] Distinguishing GPT-4-generated Radiology Abstracts from Original Abstracts: Performance of Blinded Human Observers and AI Content Detector F. Ufuk, ..., and A. Yağcı medRxiv 2023 - 1 citations - Show abstract - Cite - PDF 6.4% topic match

6.3%
9.9
2023
[77] Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models Tassallah Abdullahi, ..., and Carsten Eickhoff JMIR Medical Education 2023 - 13 citations - Show abstract - Cite - PDF 6.3% topic match

6.3%
0.0
2024
[78] Loon Lens 1.0 Validation: Agentic AI for Title and Abstract Screening in Systematic Literature Reviews Ghayath Janoudi, ..., and Josip Ivkovic medRxiv 2024 - 0 citations - Show abstract - Cite 6.3% topic match

6.2%
1.9
2024
[79] The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation Y. Gwon, ..., and sungryul shim JMIR Medical Informatics 2024 - 1 citations - Show abstract - Cite - PDF 6.2% topic match

6.0%
5.3
2023
[80] Streamlining Systematic Reviews: Harnessing Large Language Models for Quality Assessment and Risk-of-Bias Evaluation A. Nashwan and Jaber H. Jaradat Cureus 2023 - 7 citations - Show abstract - Cite - PDF 6.0% topic match

6.0%
23.7
2023
[81] Large Language Models in Hematology Case Solving: A Comparative Study of ChatGPT-3.5, Google Bard, and Microsoft Bing Amita Kumari, ..., and Himel Mondal Cureus 2023 - 31 citations - Show abstract - Cite - PDF 6.0% topic match

5.8%
14.4
2020
[82] Error rates of human reviewers during abstract screening in systematic reviews Zhen Wang, ..., and M. Murad PLoS ONE 2020 - 70 citations - Show abstract - Cite - PDF 5.8% topic match

5.7%
0.0
2024
[83] Evaluating Literature Reviews Conducted by Humans Versus ChatGPT: Comparative Study Mehrnaz Mostafapour, ..., and Gary E. Garber JMIR AI 2024 - 0 citations - Show abstract - Cite - PDF 5.7% topic match

5.6%
0.0
2023
[84] GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Science Chenxi Wu, ..., and G. Karniadakis ArXiv 2023 - 0 citations - Show abstract - Cite - PDF 5.6% topic match

5.6%
0.0
2024
[85] Understanding the Landscape: The Emergence of Artificial Intelligence (AI), ChatGPT, and Google Bard in Gastroenterology Rajmohan Rammohan, ..., and P. Mustacchia Cureus 2024 - 0 citations - Show abstract - Cite - PDF 5.6% topic match

5.4%
1.1
2022
[86] A real‐world evaluation of the implementation of NLP technology in abstract screening of a systematic review S. Perlman-Arrow, ..., and R. Arora Research Synthesis Methods 2022 - 3 citations - Show abstract - Cite - PDF 5.4% topic match

5.4%
0.0
2024
[87] Hidden Flaws Behind Expert-Level Accuracy of Multimodal GPT-4 Vision in Medicine Qiao Jin, ..., and Zhiyong Lu ArXiv 2024 - 0 citations - Show abstract - Cite 5.4% topic match

5.3%
28.6
2023
[88] An extensive benchmark study on biomedical text generation and mining with ChatGPT Qijie Chen, ..., and Z. Niu Bioinformatics 2023 - 35 citations - Show abstract - Cite - PDF 5.3% topic match

5.2%
0.0
2024
[89] Literature search sandbox: a large language model that generates search queries for systematic reviews G. Adam, ..., and Byron C Wallace JAMIA Open 2024 - 0 citations - Show abstract - Cite 5.2% topic match

5.2%
60.4
2023
[90] Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments Dana Brin, ..., and Eyal Klang Scientific Reports 2023 - 69 citations - Show abstract - Cite - PDF 5.2% topic match

5.2%
20.7
2022
[91] Using artificial intelligence methods for systematic review in health sciences: A systematic review Aymeric Blaizot, ..., and N. Chaiyakunapruk Research Synthesis Methods 2022 - 57 citations - Show abstract - Cite - PDF 5.2% topic match

5.1%
8.3
2022
[92] Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search Shuai Wang, ..., and G. Zuccon Proceedings of the 26th Australasian Document Computing Symposium 2022 - 16 citations - Show abstract - Cite - PDF 5.1% topic match

5.0%
10.8
2023
[93] Use of Natural Language Processing of Patient-Initiated Electronic Health Record Messages to Identify Patients With COVID-19 Infection Kellen Mermin-Bunnell, ..., and B. Anderson JAMA Network Open 2023 - 15 citations - Show abstract - Cite - PDF 5.0% topic match

4.7%
102.1
2023
[94] Health system-scale language models are all-purpose prediction engines L. Jiang, ..., and E. Oermann Nature 2023 - 149 citations - Show abstract - Cite - PDF 4.7% topic match

4.6%
1.8
2024
[95] Performance of generative pre-trained transformers (GPTs) in Certification Examination of the College of Family Physicians of Canada Mehdi Mousavi, ..., and Samira Abbasgholizadeh Rahimi Family Medicine and Community Health 2024 - 1 citations - Show abstract - Cite - PDF 4.6% topic match

4.6%
3.5
2024
[96] A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry Yining Huang, ..., and Meilian Chen ArXiv 2024 - 2 citations - Show abstract - Cite - PDF 4.6% topic match

4.5%
0.0
2024
[97] Assessing the Efficacy of ChatGPT Versus Human Researchers in Identifying Relevant Studies on mHealth Interventions for Improving Medication Adherence in Patients With Ischemic Stroke When Conducting Systematic Reviews: Comparative Analysis Suebsarn Ruksakulpiwat, ..., and Cassie Stewart JMIR mHealth and uHealth 2024 - 0 citations - Show abstract - Cite - PDF 4.5% topic match

4.5%
0.0
2024
[98] Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews. Assaf Landschaft, ..., and Hector Allende-Cid International journal of medical informatics 2024 - 0 citations - Show abstract - Cite 4.5% topic match

4.1%
38.9
2020
[99] Software tools to support title and abstract screening for systematic reviews in healthcare: an evaluation Hannah Harrison, ..., and J. Usher-Smith BMC Medical Research Methodology 2020 - 189 citations - Show abstract - Cite - PDF 4.1% topic match

4.0%
72.5
2023
[100] A study of generative large language model for medical research and healthcare C.A.I. Peng, ..., and Yonghui Wu NPJ Digital Medicine 2023 - 109 citations - Show abstract - Cite - PDF 4.0% topic match

3.9%
0.0
2024
[101] Transformative Automation: AI in Scientific Literature Reviews Kirtirajsinh Zala, ..., and Ioannis Karamitsos International Journal of Advanced Computer Science and Applications 2024 - 0 citations - Show abstract - Cite - PDF 3.9% topic match

3.9%
0
None
[102] Hallucination Rates and Reference Accuracy in ChatGPT and Bard for Systematic Reviews: A Comparative Analysis M. Chelli, ..., and MD Mikael Chelli Journal Not Provided None - 0 citations - Show abstract - Cite 3.9% topic match

3.8%
0.2
2020
[103] Systematic literature reviews: A Case Study in FinTech and Automated Tool Support Wim Spaargaren Journal Not Provided 2020 - 1 citations - Show abstract - Cite 3.8% topic match

3.8%
3.6
2022
[104] In a pilot study, automated real-time systematic review updates were feasible, accurate, and work-saving. I. Marshall, ..., and Byron C. Wallace Journal of clinical epidemiology 2022 - 8 citations - Show abstract - Cite - PDF 3.8% topic match

3.8%
76.2
2022
[105] OpenAI ChatGPT Generated Literature Review: Digital Twin in Healthcare Ömer Aydın and Enis Karaarslan SSRN Electronic Journal 2022 - 220 citations - Show abstract - Cite 3.8% topic match

3.7%
14.9
2023
[106] Popular large language model chatbots’ accuracy, comprehensiveness, and self-awareness in answering ocular symptom queries Krithi Pushpanathan, ..., and Yih-Chung Tham iScience 2023 - 17 citations - Show abstract - Cite 3.7% topic match

3.7%
0.0
2024
[107] Towards the Use of AI-Based Tools for Systematic Literature Review Lotfi Souifi, ..., and A. Kacem International Conference on Agents and Artificial Intelligence 2024 - 0 citations - Show abstract - Cite 3.7% topic match

3.6%
0.0
2024
[108] Machine learning enables automated screening for systematic reviews and meta-analysis in urology H. Menold, ..., and K. Kowalewski World Journal of Urology 2024 - 0 citations - Show abstract - Cite 3.6% topic match

3.6%
0.0
2024
[109] Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: Systematic Review and Meta-Analysis Mingxin Liu, ..., and Takahiro Kiuchi Journal of Medical Internet Research 2024 - 0 citations - Show abstract - Cite - PDF 3.6% topic match

3.5%
18.1
2023
[110] Explaining Legal Concepts with Augmented Large Language Models (GPT-4) Jaromír Šavelka, ..., and Huihui Xu ArXiv 2023 - 26 citations - Show abstract - Cite - PDF 3.5% topic match

3.5%
1.7
2023
[111] General purpose large language models match human performance on gastroenterology board exam self-assessments. Shuhaib S. Ali, ..., and Bara El Kurdi medRxiv 2023 - 2 citations - Show abstract - Cite - PDF 3.5% topic match

3.5%
0.0
2024
[112] Evaluating Large Language Models on Academic Literature Understanding and Review: An Empirical Study among Early-stage Scholars Jiyao Wang, ..., and Dengbo He Proceedings of the CHI Conference on Human Factors in Computing Systems 2024 - 0 citations - Show abstract - Cite - PDF 3.5% topic match

3.3%
None
None
[113] What Is the Remedy? L. E. Neame The Homoeopathic Physician None - 11 citations - Show abstract - Cite 3.3% topic match

3.3%
3.7
2024
[114] Performance of GPT-4 and GPT-3.5 in generating accurate and comprehensive diagnoses across medical subspecialties. Dik Wai Anderson Luk, ..., and Yat-fung Shea Journal of the Chinese Medical Association : JCMA 2024 - 3 citations - Show abstract - Cite 3.3% topic match

3.3%
3739.5
2023
[115] GPT-4 Technical Report OpenAI Josh Achiam, ..., and Barret Zoph Journal Not Provided 2023 - 6317 citations - Show abstract - Cite - PDF 3.3% topic match

3.2%
3.1
2023
[116] Large language model-based information extraction from free-text radiology reports: a scoping review protocol Daniel Reichenpfader, ..., and K. Denecke BMJ Open 2023 - 4 citations - Show abstract - Cite - PDF 3.2% topic match

3.2%
2.6
2023
[117] Evaluating the role of ChatGPT in gastroenterology: a comprehensive systematic review of applications, benefits, and limitations Eyal Klang, ..., and Adi Lahat Therapeutic Advances in Gastroenterology 2023 - 5 citations - Show abstract - Cite - PDF 3.2% topic match

3.2%
6.2
2023
[118] Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models D. Hamer, ..., and Daniel Kapitan ArXiv 2023 - 10 citations - Show abstract - Cite - PDF 3.2% topic match

3.1%
1.3
2024
[119] Towards Development of Automated Knowledge Maps and Databases for Materials Engineering using Large Language Models Deepak Prasad, ..., and A. Alankar ArXiv 2024 - 1 citations - Show abstract - Cite - PDF 3.1% topic match

3.1%
2.1
2024
[120] Retrieval-augmented large language models for clinical trial screening. R. Tan, ..., and D. S. Tan Journal of Clinical Oncology 2024 - 1 citations - Show abstract - Cite 3.1% topic match

3.0%
0.0
2024
[121] Unveiling ChatGPT's Potential across Biomedicine and Patient Care: From Text to Treatment Boutaina Addoum, ..., and Imane Chaoui Studies in Medical and Health Sciences 2024 - 0 citations - Show abstract - Cite 3.0% topic match

3.0%
14.2
2019
[122] Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools A. Gates, ..., and L. Hartling Systematic Reviews 2019 - 72 citations - Show abstract - Cite - PDF 3.0% topic match

3.0%
0.0
2024
[123] Artificial intelligence meets medical expertise: evaluating GPT-4's proficiency in generating medical article abstracts Ergin Sağtaş, ..., and A. B. Yağcı Pamukkale Medical Journal 2024 - 0 citations - Show abstract - Cite 3.0% topic match

2.8%
11.6
2023
[124] Exploring ChatGPT Capabilities and Limitations: A Survey Anis Koubaa, ..., and Shahid Latif IEEE Access 2023 - 22 citations - Show abstract - Cite - PDF 2.8% topic match

2.8%
11.7
2024
[125] Comparative Evaluation of LLMs in Clinical Oncology. N. Rydzewski, ..., and Krishnan R. Patel NEJM AI 2024 - 7 citations - Show abstract - Cite 2.8% topic match

2.8%
270.5
2019
[126] Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi, ..., and Bryan Catanzaro ArXiv 2019 - 1401 citations - Show abstract - Cite - PDF 2.8% topic match

2.7%
0.0
2022
[127] Feature selection analysis of systematic review citation screening algorithm Shi Li, ..., and Hong-Guang Liu 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) 2022 - 0 citations - Show abstract - Cite 2.7% topic match

2.7%
20.0
2019
[128] Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error Alexandra Bannach‐Brown, ..., and M. Macleod Systematic Reviews 2019 - 117 citations - Show abstract - Cite - PDF 2.7% topic match

2.6%
2.4
2021
[129] PICO Portal Joel T Minion, ..., and F. Clement The Journal of the Canadian Health Libraries Association 2021 - 7 citations - Show abstract - Cite - PDF 2.6% topic match

2.6%
1.9
2019
[130] Ranking Studies for Systematic Reviews Using Query Adaptation: University of Sheffield's Approach to CLEF eHealth 2019 Task 2 Amal H. Alharbi and Mark Stevenson Conference and Labs of the Evaluation Forum 2019 - 10 citations - Show abstract - Cite 2.6% topic match

2.6%
0.0
2024
[131] Automated Mass Extraction of Over 680,000 PICOs from Clinical Study Abstracts Using Generative AI: A Proof-of-Concept Study. Tim Reason, ..., and A. Gimblett Pharmaceutical medicine 2024 - 0 citations - Show abstract - Cite 2.6% topic match

2.5%
56.5
2019
[132] Toward systematic review automation: a practical guide to using machine learning tools in research synthesis I. Marshall and Byron C. Wallace Systematic Reviews 2019 - 303 citations - Show abstract - Cite - PDF 2.5% topic match

2.5%
18.5
2023
[133] Examining the Validity of ChatGPT in Identifying Relevant Nephrology Literature: Findings and Implications S. Suppadungsuk, ..., and W. Cheungpasitporn Journal of Clinical Medicine 2023 - 23 citations - Show abstract - Cite - PDF 2.5% topic match

2.5%
0.0
2024
[134] Optimizing GPT-4 Turbo Diagnostic Accuracy in Neuroradiology through Prompt Engineering and Confidence Thresholds A. Wada, ..., and S. Aoki Diagnostics 2024 - 0 citations - Show abstract - Cite 2.5% topic match

2.4%
33.0
2023
[135] ChatGPT in Scientific Writing: A Cautionary Tale. Haoyi Zheng and H. Zhan The American journal of medicine 2023 - 57 citations - Show abstract - Cite - PDF 2.4% topic match

2.4%
3.7
2024
[136] Addressing Data Scarcity in the Medical Domain: A GPT-Based Approach for Synthetic Data Generation and Feature Extraction F. Sufi Inf. 2024 - 2 citations - Show abstract - Cite - PDF 2.4% topic match

2.3%
1.7
2024
[137] Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goals Qingyang Wu, ..., and Yifan Yang ArXiv 2024 - 1 citations - Show abstract - Cite - PDF 2.3% topic match

2.3%
29.9
2023
[138] Exploring the role of ChatGPT in patient care (diagnosis and treatment) and medical research: A systematic review R. Garg, ..., and Sujita Kumar Kar Health Promotion Perspectives 2023 - 43 citations - Show abstract - Cite - PDF 2.3% topic match

2.3%
3.5
2024
[139] Artificial intelligence model GPT4 narrowly fails simulated radiological protection exam G. Roemer, ..., and M. Bellamy Journal of Radiological Protection 2024 - 3 citations - Show abstract - Cite - PDF 2.3% topic match

2.3%
10.4
2023
[140] A novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviews Carlos Francisco Moreno-García, ..., and M. Aceves-Martins Decision Analytics Journal 2023 - 18 citations - Show abstract - Cite 2.3% topic match

2.3%
68.6
2024
[141] Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study. T. Zack, ..., and Emily Alsentzer The Lancet. Digital health 2024 - 61 citations - Show abstract - Cite 2.3% topic match

2.3%
0.0
2024
[142] ChatGPT With GPT-4 Outperforms Emergency Department Physicians in Diagnostic Accuracy: Retrospective Analysis J. M. Hoppe, ..., and C. Stremmel Journal of Medical Internet Research 2024 - 0 citations - Show abstract - Cite 2.3% topic match

2.2%
79.8
2023
[143] Evaluating large language models on medical evidence summarization Liyan Tang, ..., and Y. Peng NPJ Digital Medicine 2023 - 126 citations - Show abstract - Cite - PDF 2.2% topic match

2.2%
0.0
2024
[144] EXAMINING THE ROLE OF CHATGPT IN THE EVALUATION OF SCIENTIFIC ABSTRACTS J. Cavanagh, ..., and B. Heniford British Journal of Surgery 2024 - 0 citations - Show abstract - Cite - PDF 2.2% topic match

2.2%
8.7
2023
[145] Improving accuracy of GPT-3/4 results on biomedical data using a retrieval-augmented language model D. Soong, ..., and Brandon Higgs ArXiv 2023 - 13 citations - Show abstract - Cite - PDF 2.2% topic match

2.2%
69.1
2020
[146] An open source machine learning framework for efficient and transparent systematic reviews R. Schoot, ..., and D. Oberski Nature Machine Intelligence 2020 - 305 citations - Show abstract - Cite - PDF 2.2% topic match

2.1%
2.1
2017
[147] Automatic and Semi-Automatic Document Selection for Technology-Assisted Review Maura R. Grossman, ..., and Adam Roegiest Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval 2017 - 15 citations - Show abstract - Cite - PDF 2.1% topic match

2.0%
18.3
2023
[148] Artificial Intelligence (AI) in Radiology: A Deep Dive Into ChatGPT 4.0's Accuracy with the American Journal of Neuroradiology's (AJNR) "Case of the Month" P. Suthar, ..., and S. Dua Cureus 2023 - 24 citations - Show abstract - Cite - PDF 2.0% topic match

2.0%
54.9
2020
[149] Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases L. Bornmann, ..., and R. Mutz Humanities and Social Sciences Communications 2020 - 216 citations - Show abstract - Cite - PDF 2.0% topic match

2.0%
22.2
2021
[150] Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews Kevin E. K. Chai, ..., and Leo Ng Systematic Reviews 2021 - 81 citations - Show abstract - Cite - PDF 2.0% topic match

2.0%
3.7
2024
[151] Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources Lasse Hyldig Hansen, ..., and L. Celi ArXiv 2024 - 2 citations - Show abstract - Cite - PDF 2.0% topic match

1.9%
6.4
2023
[152] What Will the United States Look Like in 2050? A Chatgpt Short Story Robert W. McGee SSRN Electronic Journal 2023 - 12 citations - Show abstract - Cite 1.9% topic match

1.9%
0.0
2024
[153] Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses Xufei Luo, ..., and Yaolong Chen Journal of Medical Internet Research 2024 - 0 citations - Show abstract - Cite - PDF 1.9% topic match

1.8%
67.3
2023
[154] Science in the age of large language models Abeba Birhane, ..., and Sandra Wachter Nature Reviews Physics 2023 - 106 citations - Show abstract - Cite - PDF 1.8% topic match

1.7%
19.7
2023
[155] Matching Patients to Clinical Trials with Large Language Models Qiao Jin, ..., and Zhiyong Lu ArXiv 2023 - 26 citations - Show abstract - Cite - PDF 1.7% topic match

1.7%
12.0
2023
[156] Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer C. Watters and Michał K. Lemański Frontiers in Big Data 2023 - 15 citations - Show abstract - Cite - PDF 1.7% topic match

1.6%
5.3
2023
[157] Comparative study of ChatGPT and human evaluators on the assessment of medical literature according to recognised reporting standards Richard H R Roberts, ..., and Iain S Whitaker BMJ Health & Care Informatics 2023 - 6 citations - Show abstract - Cite - PDF 1.6% topic match

1.6%
10.0
2020
[158] Statistical stopping criteria for automated screening in systematic reviews M. Callaghan and Finn Müller-Hansen Systematic Reviews 2020 - 42 citations - Show abstract - Cite - PDF 1.6% topic match

1.6%
7.9
2024
[159] Large Language Models in Mental Health Care: a Scoping Review Y. Hua, ..., and Andrew Beam ArXiv 2024 - 7 citations - Show abstract - Cite - PDF 1.6% topic match

1.6%
34.8
2023
[160] Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Artificial Intelligence (WG-AI) J. Cadamuro, ..., and A. Padoan Clinical Chemistry and Laboratory Medicine (CCLM) 2023 - 55 citations - Show abstract - Cite - PDF 1.6% topic match

1.6%
1.2
2024
[161] Human versus artificial intelligence‐generated arthroplasty literature: A single‐blinded analysis of perceived communication, quality, and authorship source K. Lawrence, ..., and J. Rozell The International Journal of Medical Robotics and Computer Assisted Surgery 2024 - 1 citations - Show abstract - Cite 1.6% topic match

1.6%
8.1
2020
[162] The semi-automation of title and abstract screening: a retrospective exploration of ways to leverage Abstrackr’s relevance predictions in systematic and rapid reviews A. Gates, ..., and L. Hartling BMC Medical Research Methodology 2020 - 36 citations - Show abstract - Cite - PDF 1.6% topic match

1.5%
6.3
2023
[163] Review of emerging trends and projection of future developments in large language models research in ophthalmology Matthew Wong, ..., and Yih-Chung Tham British Journal of Ophthalmology 2023 - 6 citations - Show abstract - Cite 1.5% topic match

1.5%
4.8
2024
[164] Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning Teo Susnjak, ..., and Surangika Ranathunga ArXiv 2024 - 3 citations - Show abstract - Cite - PDF 1.5% topic match

1.4%
7.0
2023
[165] Empirical Evaluation of ChatGPT on Requirements Information Retrieval Under Zero-Shot Setting Jianzhang Zhang, ..., and Yinglin Wang 2023 International Conference on Intelligent Computing and Next Generation Networks(ICNGN) 2023 - 11 citations - Show abstract - Cite - PDF 1.4% topic match

1.4%
54.7
2015
[166] Using text mining for study identification in systematic reviews: a systematic review of current approaches A. O'Mara-Eves, ..., and S. Ananiadou Systematic Reviews 2015 - 539 citations - Show abstract - Cite - PDF 1.4% topic match

1.4%
0.0
2024
[167] Evaluation of GPT-4 ability to identify and generate patient instructions for actionable incidental radiology findings. Kar-Mun C Woo, ..., and Stella K Kang Journal of the American Medical Informatics Association : JAMIA 2024 - 0 citations - Show abstract - Cite - PDF 1.4% topic match

1.4%
2.5
2020
[168] Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study Tomohide Yamada, ..., and T. Yamauchi Journal of Medical Internet Research 2020 - 11 citations - Show abstract - Cite - PDF 1.4% topic match

1.4%
1.1
2017
[169] Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting Zhe Yu and T. Menzies Conference and Labs of the Evaluation Forum 2017 - 9 citations - Show abstract - Cite 1.4% topic match

1.4%
6.6
2020
[170] Automatic document screening of medical literature using word and text embeddings in an active learning setting Andrés Carvallo, ..., and Á. Soto Scientometrics 2020 - 28 citations - Show abstract - Cite 1.4% topic match

1.3%
99.2
2023
[171] Utility of ChatGPT in Clinical Practice Jialin Liu, ..., and Siru Liu Journal of Medical Internet Research 2023 - 139 citations - Show abstract - Cite - PDF 1.3% topic match

1.3%
3.4
2019
[172] Measuring the impact of screening automation on meta-analyses of diagnostic test accuracy Christopher Norman, ..., and Aurélie Névéol Systematic Reviews 2019 - 17 citations - Show abstract - Cite - PDF 1.3% topic match

1.3%
0.0
2024
[173] Large Language Models to process, analyze, and synthesize biomedical texts – a scoping review Simona Emilova Doneva, ..., and B. Ineichen bioRxiv 2024 - 0 citations - Show abstract - Cite 1.3% topic match

1.3%
581.8
1960
[174] A Coefficient of Agreement for Nominal Scales Jacob Cohen Educational and Psychological Measurement 1960 - 37610 citations - Show abstract - Cite 1.3% topic match

1.3%
0.0
2024
[175] Research on the Development and Application of ChatGPT Yixin Gao Lecture Notes in Education Psychology and Public Media 2024 - 0 citations - Show abstract - Cite - PDF 1.3% topic match

1.2%
136.0
2023
[176] ChatGPT and Open-AI Models: A Preliminary Review Konstantinos I. Roumeliotis and Nikolaos D. Tselikas Future Internet 2023 - 203 citations - Show abstract - Cite - PDF 1.2% topic match

1.2%
0.0
2024
[177] Transformative potential of Large Language Models (LLMs) in data mining on Electronic Health Records. Amadeo Wals Zurita, ..., and Carlos Míguez Sánchez medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 1.2% topic match

1.2%
2.7
2024
[178] Impact of Active learning model and prior knowledge on discovery time of elusive relevant papers: a simulation study Fionn Byrne, ..., and R. van de Schoot Systematic Reviews 2024 - 1 citations - Show abstract - Cite 1.2% topic match

1.1%
0.0
2024
[179] Future of Evidence Synthesis: Automated, Living, and Interactive Systematic Reviews and Meta-Analyses I. Riaz, ..., and M. Hassan Murad Mayo Clinic Proceedings: Digital Health 2024 - 0 citations - Show abstract - Cite 1.1% topic match

1.1%
6.2
2023
[180] ChatGPT in Iranian medical licensing examination: evaluating the diagnostic accuracy and decision-making capabilities of an AI-based model M. Ebrahimian, ..., and Elham Sobhrakhshankhah BMJ Health & Care Informatics 2023 - 6 citations - Show abstract - Cite - PDF 1.1% topic match

1.1%
5.8
2024
[181] System for systematic literature review using multiple AI agents: Concept and an empirical evaluation Malik Abdul Sami, ..., and Pekka Abrahamsson ArXiv 2024 - 4 citations - Show abstract - Cite - PDF 1.1% topic match

1.1%
1.8
2024
[182] Evaluation of Reliability, Repeatability, Robustness, and Confidence of GPT-3.5 and GPT-4 on a Radiology Board-style Examination. Satheesh Krishna, ..., and Rajesh Bhayana Radiology 2024 - 1 citations - Show abstract - Cite 1.1% topic match

1.0%
7.3
2022
[183] Localising In-Domain Adaptation of Transformer-Based Biomedical Language Models T. M. Buonocore, ..., and Enea Parimbelli Journal of biomedical informatics 2022 - 14 citations - Show abstract - Cite - PDF 1.0% topic match

1.0%
19.2
2018
[184] An Introduction to Writing Narrative and Systematic Reviews - Tasks, Tips and Traps for Aspiring Authors. Ann Gregory and A. Denniss Heart, lung & circulation 2018 - 123 citations - Show abstract - Cite 1.0% topic match

1.0%
13.8
2016
[185] Use of cost-effectiveness analysis to compare the efficiency of study identification methods in systematic reviews I. Shemilt, ..., and James Thomas Systematic Reviews 2016 - 114 citations - Show abstract - Cite - PDF 1.0% topic match

1.0%
138.2
2019
[186] Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets Yifan Peng, ..., and Zhiyong Lu https://doi.org/10.18653/v1/W19-5006 2019 - 752 citations - Show abstract - Cite - PDF 1.0% topic match

1.0%
8.1
2023
[187] Quality of citation data using the natural language processing tool ChatGPT in rheumatology: creation of false references A. Hueber and A. Kleyer RMD Open 2023 - 12 citations - Show abstract - Cite - PDF 1.0% topic match

0.9%
0.0
2024
[188] Exploring the role of Large Language Models (LLMs) in hematology: a systematic review of applications, benefits, and limitations A. Mudrik, ..., and S. Soffer medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 0.9% topic match

0.9%
25.5
2023
[189] ChatGPT and the Future of Academic Integrity in the Artificial Intelligence Era: A New Frontier No author found Al-Salam Journal for Engineering and Technology 2023 - 41 citations - Show abstract - Cite - PDF 0.9% topic match

0.9%
0.8
2022
[190] A semiparametric approach for meta‐analysis of diagnostic accuracy studies with multiple cut‐offs C. Frömke, ..., and A. Zapf Research Synthesis Methods 2022 - 2 citations - Show abstract - Cite - PDF 0.9% topic match

0.9%
4.2
2023
[191] Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts Fan Gao, ..., and Irene Li ArXiv 2023 - 8 citations - Show abstract - Cite 0.9% topic match

0.9%
3.1
2023
[192] Performance of large language models at the MRCS Part A: a tool for medical education? A. Yiu and K. Lam Annals of the Royal College of Surgeons of England 2023 - 3 citations - Show abstract - Cite 0.9% topic match

0.9%
7.4
2022
[193] Automation of literature screening using machine learning in medical evidence synthesis: a diagnostic test accuracy systematic review protocol Yuelun Zhang, ..., and Hui Pan Systematic Reviews 2022 - 21 citations - Show abstract - Cite - PDF 0.9% topic match

0.9%
6.0
2023
[194] Chat GPT in Diagnostic Human Pathology: Will It Be Useful to Pathologists? A Preliminary Review with ‘Query Session’ and Future Perspectives Gerardo Cazzato, ..., and G. Ingravallo AI 2023 - 6 citations - Show abstract - Cite - PDF 0.9% topic match

0.8%
2.9
2023
[195] Reviews and Reviewing: Approaches to Research Synthesis. An Annual Review of Information Science and Technology (ARIST) paper Linda C. Smith Journal of the Association for Information Science and Technology 2023 - 3 citations - Show abstract - Cite - PDF 0.8% topic match

0.8%
29.5
2023
[196] The Potential of ChatGPT as a Self-Diagnostic Tool in Common Orthopedic Diseases: Exploratory Study Tomoyuki Kuroiwa, ..., and Koji Fujita Journal of Medical Internet Research 2023 - 35 citations - Show abstract - Cite - PDF 0.8% topic match

0.8%
108.5
2023
[197] Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models Yi-Hsueh Liu, ..., and Bao Ge ArXiv 2023 - 205 citations - Show abstract - Cite 0.8% topic match

0.8%
31.0
2023
[198] ChatGPT Outscored Human Candidates in a Virtual Objective Structured Clinical Examination (OSCE) in Obstetrics and Gynecology. S. Li, ..., and P. Rajendran American journal of obstetrics and gynecology 2023 - 51 citations - Show abstract - Cite - PDF 0.8% topic match

0.8%
0.0
2024
[199] Assessing Risk of Bias Using ChatGPT-4 and Cochrane ROB2 Tool. A. S. Treviño-Juarez Medical science educator 2024 - 0 citations - Show abstract - Cite 0.8% topic match

0.8%
5.3
2024
[200] Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment B. Hasan, ..., and M. H. Murad BMJ Evidence-Based Medicine 2024 - 4 citations - Show abstract - Cite 0.8% topic match

0.8%
7.2
2022
[201] From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search Shuai Wang, ..., and G. Zuccon Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2022 - 19 citations - Show abstract - Cite - PDF 0.8% topic match

0.8%
16.0
2006
[202] Reducing workload in systematic review preparation using automated citation classification. AM Arjeh Cohen, ..., and Po-Yin Yen Journal of the American Medical Informatics Association : JAMIA 2006 - 299 citations - Show abstract - Cite - PDF 0.8% topic match

0.7%
13.5
2019
[203] The significant cost of systematic reviews and meta-analyses: A call for greater involvement of machine learning to assess the promise of clinical trials M. Michelson and Katja Reuter Contemporary Clinical Trials Communications 2019 - 71 citations - Show abstract - Cite 0.7% topic match

0.7%
5.5
2023
[204] Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study Shu-Li Cheng, ..., and Kuan-Pin Su Journal of Medical Internet Research 2023 - 5 citations - Show abstract - Cite - PDF 0.7% topic match

0.7%
29.8
2023
[205] Comparative Performance of ChatGPT and Bard in a Text-Based Radiology Knowledge Assessment Nikhil S. Patil, ..., and Natasha Larocque Canadian Association of Radiologists Journal 2023 - 38 citations - Show abstract - Cite - PDF 0.7% topic match

0.7%
0.0
2024
[206] Diagnostic Performance of ChatGPT to perform emergency department triage: A systematic review and meta-analysis Navid Kaboudi, ..., and Saeedeh Firouzbakht medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 0.7% topic match

0.7%
6.7
2017
[207] FAST2: An intelligent assistant for finding relevant papers Zhe Yu and T. Menzies Expert Syst. Appl. 2017 - 51 citations - Show abstract - Cite - PDF 0.7% topic match

0.7%
8.7
2020
[208] Trialstreamer: A living, automatically updated database of clinical trial reports I. Marshall, ..., and Byron C. Wallace Journal of the American Medical Informatics Association : JAMIA 2020 - 39 citations - Show abstract - Cite - PDF 0.7% topic match

0.7%
87.4
2023
[209] Potential Use of Chat GPT in Global Warming Som S. Biswas Annals of Biomedical Engineering 2023 - 151 citations - Show abstract - Cite 0.7% topic match

0.6%
2.9
2024
[210] LLAssist: Simple Tools for Automating Literature Review Using Large Language Models Christoforus Yoga Haryanto ArXiv 2024 - 1 citations - Show abstract - Cite - PDF 0.6% topic match

0.6%
24.8
2023
[211] A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks Israt Jahan, ..., and Jimmy X. Huang Computers in biology and medicine 2023 - 28 citations - Show abstract - Cite - PDF 0.6% topic match

0.6%
13.9
2015
[212] Faster title and abstract screening? Evaluating Abstrackr, a semi-automated online screening program for systematic reviewers J. Rathbone, ..., and P. Glasziou Systematic Reviews 2015 - 131 citations - Show abstract - Cite - PDF 0.6% topic match

0.6%
2.1
2023
[213] Efficiency and Workload Reduction of Semi-automated Citation Screening Software for Creating Clinical Practice Guidelines: A Prospective Observational Study T. Oami, ..., and T. Nakada Journal of Epidemiology 2023 - 2 citations - Show abstract - Cite - PDF 0.6% topic match

0.5%
22.4
2023
[214] The promise and peril of using a large language model to obtain clinical information: ChatGPT performs strongly as a fertility counseling tool with limitations. J. Chervenak, ..., and S. Jindal Fertility and sterility 2023 - 35 citations - Show abstract - Cite - PDF 0.5% topic match

0.5%
0.7
2023
[215] Cocreating an Automated mHealth Apps Systematic Review Process With Generative AI: Design Science Research Approach Guido Giunti and Colin P Doherty JMIR Medical Education 2023 - 1 citations - Show abstract - Cite - PDF 0.5% topic match

0.5%
0.0
2024
[216] Adopting Generative AI for Literature Reviews: An Epistemological Perspective G. Schryen, ..., and Jiaqi Yang Hawaii International Conference on System Sciences 2024 - 0 citations - Show abstract - Cite 0.5% topic match

0.5%
15.1
2021
[217] Tools to support the automation of systematic reviews: A scoping review. H. Khalil, ..., and A. Zarnegar Journal of clinical epidemiology 2021 - 45 citations - Show abstract - Cite 0.5% topic match

0.5%
6.4
2018
[218] Seed-driven Document Ranking for Systematic Reviews in Evidence-Based Medicine Grace E. Lee and Aixin Sun The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval 2018 - 41 citations - Show abstract - Cite - PDF 0.5% topic match

0.5%
1.0
2012
[219] Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations S. Hempel, ..., and S. Dalal Journal Not Provided 2012 - 12 citations - Show abstract - Cite 0.5% topic match

0.5%
190.1
2009
[220] The Probabilistic Relevance Framework: BM25 and Beyond S. Robertson and H. Zaragoza Found. Trends Inf. Retr. 2009 - 2973 citations - Show abstract - Cite 0.5% topic match

0.5%
0.0
2023
[221] Clinical reasoning using ChatGPT: Is it beyond credibility for physiotherapists use? Paraskevi Bilika, ..., and E. Kapreli Physiotherapy theory and practice 2023 - 0 citations - Show abstract - Cite 0.5% topic match

0.5%
948.5
2012
[222] Interrater reliability: the kappa statistic M. McHugh Biochemia Medica 2012 - 11514 citations - Show abstract - Cite - PDF 0.5% topic match

0.5%
51.6
2023
[223] Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened M. Májovský, ..., and D. Netuka Journal of Medical Internet Research 2023 - 89 citations - Show abstract - Cite - PDF 0.5% topic match

0.5%
0.0
2024
[224] ChatGPT in medicine: A cross-disciplinary systematic review of ChatGPT’s (artificial intelligence) role in research, clinical practice, education, and patient interaction Afia Fatima, ..., and M. Mustafa Medicine 2024 - 0 citations - Show abstract - Cite 0.5% topic match

0.5%
12.1
2023
[225] Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models Qiang Zhang, ..., and Yusuke Miyao Annual Meeting of the Association for Computational Linguistics 2023 - 18 citations - Show abstract - Cite - PDF 0.5% topic match

0.4%
80.9
2023
[226] Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard Zhi Wei Lim, ..., and Yih-Chung Tham eBioMedicine 2023 - 101 citations - Show abstract - Cite 0.4% topic match

0.4%
21.5
2023
[227] ChatGPT's Ability to Assess Quality and Readability of Online Medical Information: Evidence From a Cross-Sectional Study R. Golan, ..., and Ranjith Ramasamy Cureus 2023 - 30 citations - Show abstract - Cite - PDF 0.4% topic match

0.4%
1.3
2021
[228] Chapter Three - The screening phase in systematic reviews: Can we speed up the process? I. Rozanc and M. Mernik Adv. Comput. 2021 - 5 citations - Show abstract - Cite 0.4% topic match

0.4%
0.0
2024
[229] RelevAI-Reviewer: A Benchmark on AI Reviewers for Survey Paper Relevance Paulo Henrique Couto, ..., and Lisheng Sun-Hosoya ArXiv 2024 - 0 citations - Show abstract - Cite - PDF 0.4% topic match

0.4%
4.9
2023
[230] On the Reliability of the Area Under the ROC Curve in Empirical Software Engineering L. Lavazza, ..., and Gabriele Rotoloni Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering 2023 - 7 citations - Show abstract - Cite - PDF 0.4% topic match

0.4%
0.0
2024
[231] Leveraging GPT-4 for identifying cancer phenotypes in electronic health records: a performance comparison between GPT-4, GPT-3.5-turbo, Flan-T5, Llama-3-8B, and spaCy’s rule-based and machine learning-based methods Kriti Bhattarai, ..., and Albert M Lai JAMIA Open 2024 - 0 citations - Show abstract - Cite 0.4% topic match

0.4%
1.9
2017
[232] Ranking and Feedback-based Stopping for Recall-Centric Document Retrieval Noah Hollmann and Carsten Eickhoff Conference and Labs of the Evaluation Forum 2017 - 15 citations - Show abstract - Cite 0.4% topic match

0.4%
0.0
2024
[233] An exploration of available methods and tools to improve the efficiency of systematic review production: a scoping review Lisa Affengruber, ..., and René Spijker BMC Medical Research Methodology 2024 - 0 citations - Show abstract - Cite 0.4% topic match

0.4%
8.8
2023
[234] Data Extraction for Evidence Synthesis Using a Large Language Model: A Proof-of-Concept Study Gerald Gartlehner, ..., and Robert Chew Research synthesis methods 2023 - 10 citations - Show abstract - Cite - PDF 0.4% topic match

0.4%
2.5
2024
[235] GPT-4 performance on querying scientific publications: reproducibility, accuracy, and impact of an instruction sheet Kaiming Tao, ..., and Robert W Shafer BMC Medical Research Methodology 2024 - 1 citations - Show abstract - Cite - PDF 0.4% topic match

0.3%
78.8
2023
[236] Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bank R. Ali, ..., and Wael Asaad Neurosurgery 2023 - 127 citations - Show abstract - Cite 0.3% topic match

0.3%
0.1
2018
[237] SWIFT-Review: A Text-Mining Workbench for Systematic Review Kayla K. Thayer and J. Phillips Journal Not Provided 2018 - 1 citations - Show abstract - Cite 0.3% topic match

0.3%
6.9
2019
[238] Automatic Boolean Query Refinement for Systematic Review Literature Search Harrisen Scells, ..., and B. Koopman The World Wide Web Conference 2019 - 38 citations - Show abstract - Cite 0.3% topic match

0.3%
8.8
2017
[239] Automating Biomedical Evidence Synthesis: RobotReviewer I. Marshall, ..., and Byron C. Wallace Proceedings of the conference. Association for Computational Linguistics. Meeting 2017 - 65 citations - Show abstract - Cite - PDF 0.3% topic match

0.3%
2.5
2017
[240] QUT ielab at CLEF eHealth 2017 Technology Assisted Reviews Track: Initial experiments with learning to rank Harrisen Scells, ..., and B. Koopman Conference and Labs of the Evaluation Forum 2017 - 20 citations - Show abstract - Cite 0.3% topic match

0.3%
8.4
2023
[241] GPT4 is Slightly Helpful for Peer-Review Assistance: A Pilot Study Zachary Robertson ArXiv 2023 - 12 citations - Show abstract - Cite - PDF 0.3% topic match

0.3%
16.6
2014
[242] Reducing systematic review workload through certainty-based screening Makoto Miwa, ..., and S. Ananiadou Journal of Biomedical Informatics 2014 - 168 citations - Show abstract - Cite 0.3% topic match

0.3%
28.8
2023
[243] BioCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval Qiao Jin, ..., and Zhiyong Lu Bioinformatics 2023 - 40 citations - Show abstract - Cite - PDF 0.3% topic match

0.3%
34.2
2013
[244] Evaluation Measures for Models Assessment over Imbalanced Data Sets M. Bekkar, ..., and Taklit Akrouf Alitouche Journal of Information Engineering and Applications 2013 - 406 citations - Show abstract - Cite 0.3% topic match

0.3%
1.7
2024
[245] Using GPT-4 to write a scientific review article: a pilot evaluation study Zhiping Paul Wang, ..., and Jason H. Moore BioData Mining 2024 - 1 citations - Show abstract - Cite - PDF 0.3% topic match

0.3%
12.2
2023
[246] Assessing the Performance of GPT-3.5 and GPT-4 on the 2023 Japanese Nursing Examination Yudai Kaneda, ..., and Tetsuya Tanimoto Cureus 2023 - 16 citations - Show abstract - Cite - PDF 0.3% topic match

0.3%
24.5
2023
[247] Large Language Models for Therapy Recommendations Across 3 Clinical Specialties: Comparative Study Theresa Isabelle Wilhelm, ..., and R. Kaczmarczyk Journal of Medical Internet Research 2023 - 26 citations - Show abstract - Cite - PDF 0.3% topic match

0.3%
0.0
2024
[248] Prompt Engineering Strategies Improve the Diagnostic Accuracy of GPT-4 Turbo in Neuroradiology Cases MD Akihiko Wada, ..., and MD Shigeki Aoki medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 0.3% topic match

0.3%
11473.7
2020
[249] The PRISMA 2020 statement: an updated guideline for reporting systematic reviews M. Page, ..., and D. Moher Systematic Reviews 2020 - 48031 citations - Show abstract - Cite - PDF 0.3% topic match

0.3%
5.0
2005
[250] Which resources should be used to identify RCT/CCTs for systematic reviews: a systematic review E. Crumley, ..., and L. Hartling BMC Medical Research Methodology 2005 - 96 citations - Show abstract - Cite - PDF 0.3% topic match

0.3%
9.1
2023
[251] Product Question Answering in E-Commerce: A Survey Yang Deng, ..., and W. Lam ArXiv 2023 - 16 citations - Show abstract - Cite - PDF 0.3% topic match

0.3%
5.5
1999
[252] Estimating time to conduct a meta-analysis from number of citations retrieved. I. E. Allen and I. Olkin JAMA 1999 - 139 citations - Show abstract - Cite 0.3% topic match

0.2%
4.9
2021
[253] A decision support system for automating document retrieval and citation screening Raymon van Dinter, ..., and B. Tekinerdogan Expert Syst. Appl. 2021 - 17 citations - Show abstract - Cite 0.2% topic match

0.2%
3.3
2023
[254] Limitations of GPT-3.5 and GPT-4 in Applying Fleischner Society Guidelines to Incidental Lung Nodules Joel L. Gamble, ..., and Adnan Sheikh Canadian Association of Radiologists Journal 2023 - 3 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
324.8
2007
[255] Bmc Medical Research Methodology Ruth Mcnair, ..., and Kelsey Hegarty Journal Not Provided 2007 - 5810 citations - Show abstract - Cite 0.2% topic match

0.2%
0.0
2024
[256] Assisting humans in complex comparisons: automated information comparison at scale Truman Yuen, ..., and Y. Lawryshyn ArXiv 2024 - 0 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
0.0
2023
[257] Evaluating the Efficacy of ChatGPT-4 in Providing Scientific References across Diverse Disciplines Zhi Cao ArXiv 2023 - 0 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
1.3
2018
[258] LIMSI@CLEF eHealth 2018 Task 2: Technology Assisted Reviews by Stacking Active and Static Learning Christopher Norman, ..., and Aurélie Névéol Conference and Labs of the Evaluation Forum 2018 - 9 citations - Show abstract - Cite 0.2% topic match

0.2%
0.0
2024
[259] Contextualized AI for Cyber Defense: An Automated Survey using LLMs Christoforus Yoga Haryanto, ..., and Arathi Arakala Journal Not Provided 2024 - 0 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
0.0
2024
[260] Tracking ChatGPT Research: Insights From the Literature and the Web Omar Mubin, ..., and Zhao Zou IEEE Access 2024 - 0 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
11.2
2018
[261] CLEF 2017 Technologically Assisted Reviews in Empirical Medicine Overview E. Kanoulas, ..., and R. Spijker Conference and Labs of the Evaluation Forum 2018 - 71 citations - Show abstract - Cite 0.2% topic match

0.2%
16.8
2016
[262] Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision Byron C. Wallace, ..., and I. Marshall Journal of machine learning research : JMLR 2016 - 149 citations - Show abstract - Cite 0.2% topic match

0.2%
1.0
2023
[263] Are Different Versions of ChatGPT’s Ability Comparable to the Clinical Diagnosis Presented in Case Reports? A Descriptive Study Jingfang Chen, ..., and Chengliang Yin Journal of Multidisciplinary Healthcare 2023 - 1 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
161.8
2022
[264] When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories Alex Troy Mallen, ..., and Daniel Khashabi Annual Meeting of the Association for Computational Linguistics 2022 - 311 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
0.8
2019
[265] A Distributed Effort Approach for Systematic Reviews. IMS Unipd At CLEF 2019 eHealth Task 2 Giorgio Maria Di Nunzio Conference and Labs of the Evaluation Forum 2019 - 5 citations - Show abstract - Cite 0.2% topic match

0.2%
6581.2
2020
[266] Language Models are Few-Shot Learners Tom B. Brown, ..., and Dario Amodei ArXiv 2020 - 29514 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
1.3
2018
[267] Aristotle University's Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab Adamantios Minas, ..., and Grigorios Tsoumakas Conference and Labs of the Evaluation Forum 2018 - 9 citations - Show abstract - Cite 0.2% topic match

0.2%
7.0
2017
[268] Integrating the Framing of Clinical Questions via PICO into the Retrieval of Medical Literature for Systematic Reviews Harrisen Scells, ..., and S. Geva Proceedings of the 2017 ACM on Conference on Information and Knowledge Management 2017 - 49 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
3.4
2017
[269] Vision for SLR tooling infrastructure: Prioritizing value-added requirements Ahmed Al-Zubidy, ..., and Edgar E. Hassler Inf. Softw. Technol. 2017 - 24 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
0.0
2024
[270] Evaluating the competency of ChatGPT in MRCP Part 1 and a systematic literature review of its capabilities in postgraduate medical assessments Oliver Vij, ..., and K. Kouranloo PLOS ONE 2024 - 0 citations - Show abstract - Cite 0.2% topic match

0.2%
4.2
2022
[271] In‐depth evaluation of machine learning methods for semi‐automating article screening in a systematic review of mechanistic literature Mihiretu M Kebede, ..., and R. Fortner Research Synthesis Methods 2022 - 10 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
17.7
2018
[272] Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR) E. Beller, ..., and P. Glasziou Systematic Reviews 2018 - 115 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
25.3
2021
[273] Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline Luyu Gao, ..., and Jamie Callan European Conference on Information Retrieval 2021 - 97 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
4.1
2011
[274] Precision of healthcare systematic review searches in a cross‐sectional sample M. Sampson, ..., and C. Urquhart Research Synthesis Methods 2011 - 55 citations - Show abstract - Cite 0.2% topic match

0.2%
0.0
2024
[275] What Comes Next for Large Language Models in Medicine? Gregory Laynor Journal of Electronic Resources in Medical Libraries 2024 - 0 citations - Show abstract - Cite 0.2% topic match

0.2%
3189.8
2022
[276] Training language models to follow instructions with human feedback Long Ouyang, ..., and Ryan J. Lowe ArXiv 2022 - 8672 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
6.5
2021
[277] Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review Eugene Yang, ..., and O. Frieder European Conference on Information Retrieval 2021 - 23 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
0.0
2024
[278] Benchmarking Large Language Models for Extraction of International Classification of Diseases Codes from Clinical Documentation Ashley Simmons, ..., and Ankit Sakhuja medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
214.5
2023
[279] Can artificial intelligence help for scientific writing? Michele Salvagno, ..., and A. Gerli Critical Care 2023 - 373 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
79.9
2016
[280] Interactive machine learning for health informatics: when do we need the human-in-the-loop? Andreas Holzinger Brain Informatics 2016 - 697 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
15.3
2019
[281] A question of trust: can we build an evidence base to gain trust in systematic review automation technologies? Annette M. O’Connor, ..., and B. Hutton Systematic Reviews 2019 - 83 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
0.0
2024
[282] ChatGPT in medical writing: enhancing healthcare communication through artificial intelligence and human expertise I. Mese, ..., and T. Kuzan Anatolian Current Medical Journal 2024 - 0 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
14.4
2014
[283] Pinpointing needles in giant haystacks: use of text mining to reduce impractical screening workload in extremely large scoping reviews I. Shemilt, ..., and James Thomas Research Synthesis Methods 2014 - 154 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
0.4
2017
[284] QUT ielab at CLEF 2017 Technology Assisted Reviews Track: Initial Experiments with Learning To Rank Harrisen Scells, ..., and B. Koopman Conference and Labs of the Evaluation Forum 2017 - 3 citations - Show abstract - Cite 0.2% topic match

0.2%
25.8
2023
[285] Artificial intelligence in systematic reviews: promising when appropriately used S. V. van Dijk, ..., and A. Lenferink BMJ Open 2023 - 36 citations - Show abstract - Cite - PDF 0.2% topic match

0.2%
362.1
2006
[286] Performing systematic literature reviews in software engineering D. Budgen and P. Brereton Proceedings of the 28th international conference on Software engineering 2006 - 6694 citations - Show abstract - Cite 0.2% topic match

0.1%
46.6
2023
[287] Can large language models provide useful feedback on research papers? A large-scale empirical analysis Weixin Liang, ..., and James Zou ArXiv 2023 - 53 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
0.0
2024
[288] REVOLUTIONIZING IBD MANAGEMENT: HOW DO CHATGPT & GOOGLE BARD STAND UP IN OFFERING COMPREHENSIVE MANAGEMENT SOLUTIONS? R. M. Ram mohan, ..., and P. Mustacchia Gastroenterology 2024 - 0 citations - Show abstract - Cite 0.1% topic match

0.1%
0.0
2024
[289] Automated Review Generation Method Based on Large Language Models Shican Wu, ..., and Jinlong Gong ArXiv 2024 - 0 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
59.6
2023
[290] ChatGPT for Next Generation Science Learning Xiaoming Zhai XRDS: Crossroads, The ACM Magazine for Students 2023 - 103 citations - Show abstract - Cite 0.1% topic match

0.1%
0.0
2024
[291] Using Large Language Models to Evaluate Biomedical Query-Focused Summarisation Hashem Hijazi, ..., and Sarvnaz Karimi Workshop on Biomedical Natural Language Processing 2024 - 0 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
10.0
2019
[292] Kyoto, Japan No author found The Statesman’s Yearbook Companion 2019 - 59 citations - Show abstract - Cite 0.1% topic match

0.1%
3.4
2019
[293] A systematic review of the association between fault or blame-related attributions and procedures after transport injury and health and work-related outcomes. M. Giummarra, ..., and B. Gabbe Accident; analysis and prevention 2019 - 17 citations - Show abstract - Cite 0.1% topic match

0.1%
9.2
2023
[294] Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities Jinghui Liu, ..., and K. Verspoor Journal of biomedical informatics 2023 - 12 citations - Show abstract - Cite 0.1% topic match

0.1%
9.1
2024
[295] Can ChatGPT assist authors with abstract writing in medical journals? Evaluating the quality of scientific abstracts generated by ChatGPT and original abstracts Taesoon Hwang, ..., and Saboor Khan PLOS ONE 2024 - 7 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
1.8
2024
[296] A Systematic Review of ChatGPT and Other Conversational Large Language Models in Healthcare Leyao Wang, ..., and Zhijun Yin medRxiv 2024 - 1 citations - Show abstract - Cite 0.1% topic match

0.1%
4.6
2023
[297] Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study A. J. Thirunavukarasu, ..., and D. Ting medRxiv 2023 - 6 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
14.6
2023
[298] Comparison of Diagnostic and Triage Accuracy of Ada Health and WebMD Symptom Checkers, ChatGPT, and Physicians for Patients in an Emergency Department: Clinical Data Analysis Study Hamish S. F. Fraser, ..., and R. Hilliard JMIR mHealth and uHealth 2023 - 21 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
16.8
2023
[299] Performance of Large Language Models (ChatGPT, Bing Search, and Google Bard) in Solving Case Vignettes in Physiology Anupumar Dhanvijay, ..., and Himel Mondal Cureus 2023 - 22 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
0.0
2024
[300] COMPARATIVE ANALYSIS OF GENERATIVE ARTIFICIAL INTELLIGENCE (AI) VERSUS MANUAL DATA ANALYSIS IN ORTHOPAEDIC PATIENT DATA Mustafa Al-Naib, ..., and S. Radha Orthopaedic Proceedings 2024 - 0 citations - Show abstract - Cite 0.1% topic match

0.1%
8.0
2023
[301] A SWOT (Strengths, Weaknesses, Opportunities, and Threats) Analysis of ChatGPT in the Medical Literature: Concise Review Daniel Gödde, ..., and Timur Sellmann Journal of Medical Internet Research 2023 - 12 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
44.2
2017
[302] Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry Rohit Borah, ..., and K. Kaiser BMJ Open 2017 - 345 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
6.7
2020
[303] Interventions for increasing colorectal cancer screening uptake among African-American men: A systematic review and meta-analysis C. Rogers, ..., and M. Foster PLoS ONE 2020 - 28 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
304.2
2023
[304] Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios M. Cascella, ..., and E. Bignami Journal of Medical Systems 2023 - 523 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
1.1
2017
[305] A Study of Convolutional Neural Networks for Clinical Document Classification in Systematic Reviews: SysReview at CLEF eHealth 2017 Grace E. Lee Conference and Labs of the Evaluation Forum 2017 - 9 citations - Show abstract - Cite 0.1% topic match

0.1%
21.7
2023
[306] Radiology Gets Chatty: The ChatGPT Saga Unfolds H. Grewal, ..., and R. Kashyap Cureus 2023 - 32 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
50.4
2023
[307] Comparison of Ophthalmologist and Large Language Model Chatbot Responses to Online Patient Eye Care Questions Isaac A. Bernstein, ..., and Sophia Y. Wang JAMA Network Open 2023 - 66 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
152.0
2017
[308] Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study W. Bramer, ..., and O. Franco Systematic Reviews 2017 - 1058 citations - Show abstract - Cite 0.1% topic match

0.1%
77.1
2022
[309] Talking about Large Language Models M. Shanahan Communications of the ACM 2022 - 151 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
0.7
2023
[310] Special issue on technology assisted review systems G. Nunzio and E. Kanoulas Intell. Syst. Appl. 2023 - 1 citations - Show abstract - Cite 0.1% topic match

0.1%
0.6
2021
[311] Evaluating the relationship between citation set size, team size and screening methods used in systematic reviews: a cross-sectional study Katie O’Hearn, ..., and J. McNally BMC Medical Research Methodology 2021 - 2 citations - Show abstract - Cite 0.1% topic match

0.1%
1.0
2023
[312] Applications of Large Language Models (LLMs) in Breast Cancer Care MD Vera Sorin, ..., and MD Eyal Klang medRxiv 2023 - 1 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
61.5
2023
[313] Ethics of large language models in medicine and medical research. H. Li, ..., and J. Gichoya The Lancet. Digital health 2023 - 101 citations - Show abstract - Cite 0.1% topic match

0.1%
0.0
2024
[314] Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark Hui Feng, ..., and Christina Mack medRxiv 2024 - 0 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
0.7
2023
[315] AI in Education - Evaluating ChatGPT as a Virtual Teaching Assistant Kavita Agarwal International Journal For Multidisciplinary Research 2023 - 1 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
8.9
2017
[316] Can abstract screening workload be reduced using text mining? User experiences of the tool Rayyan Hanna Olofsson, ..., and J. Dagerhamn Research Synthesis Methods 2017 - 64 citations - Show abstract - Cite 0.1% topic match

0.1%
16.2
2023
[317] cMolGPT: A Conditional Generative Pre-Trained Transformer for Target-Specific De Novo Molecular Generation Ye Wang, ..., and Wenlu Wang Molecules 2023 - 24 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
0.0
2024
[318] On the Use of Generative AI for Literature Reviews: An Exploration of Tools and Techniques Peter Mozelius and Niklas Humble European Conference on Research Methodology for Business and Management Studies 2024 - 0 citations - Show abstract - Cite 0.1% topic match

0.1%
35.2
2019
[319] Open Source Mick Watson Definitions 2019 - 187 citations - Show abstract - Cite 0.1% topic match

0.1%
1.1
2023
[320] Toward Clinical Generative AI: Conceptual Framework N. Bragazzi and Sergio Garbarino JMIR AI 2023 - 1 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
0.0
2024
[321] Diagnostic accuracy of GPT‐4 on common clinical scenarios and challenging cases Geoffrey W. Rutledge Learning Health Systems 2024 - 0 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
1909.0
2022
[322] Chain of Thought Prompting Elicits Reasoning in Large Language Models Jason Wei, ..., and Denny Zhou ArXiv 2022 - 5373 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
256.7
2023
[323] ChatGPT listed as author on research papers: many scientists disapprove Chris Stokel-Walker Nature 2023 - 473 citations - Show abstract - Cite 0.1% topic match

0.1%
368.9
2023
[324] Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine. Peter Lee, ..., and J. Petro The New England journal of medicine 2023 - 608 citations - Show abstract - Cite 0.1% topic match

0.1%
653.4
2022
[325] Large language models encode clinical knowledge K. Singhal, ..., and Vivek Natarajan Nature 2022 - 1245 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
932.4
2022
[326] Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models Tiffany H. Kung, ..., and Victor Tseng PLOS Digital Health 2022 - 1792 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
53.5
2023
[327] Evaluating GPT as an Adjunct for Radiologic Decision Making: GPT-4 Versus GPT-3.5 in a Breast Imaging Pilot. Arya Rao, ..., and M. Succi Journal of the American College of Radiology : JACR 2023 - 76 citations - Show abstract - Cite 0.1% topic match

0.1%
4.2
2023
[328] ChatGPT as a tool for conducting literature review for dry eye disease Swati Singh and Stephanie Watson Clinical & Experimental Ophthalmology 2023 - 6 citations - Show abstract - Cite 0.1% topic match

0.1%
19.2
2020
[329] Graphical enhancements to summary receiver operating characteristic plots to facilitate the analysis and reporting of meta‐analysis of diagnostic test accuracy data Amit Patel, ..., and A. Sutton Research Synthesis Methods 2020 - 83 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
31.9
2021
[330] PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization Wen Xiao, ..., and Arman Cohan Annual Meeting of the Association for Computational Linguistics 2021 - 99 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
6.3
2023
[331] Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis Qiuhong Wei, ..., and Ximing Xu Journal of biomedical informatics 2023 - 7 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
1.4
2023
[332] Comparison of ChatGPT vs. Bard to Anesthesia-related Queries S. S. Patnaik and U. Hoffmann medRxiv 2023 - 2 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
2.4
2017
[333] Ranking Abstracts to Identify Relevant Evidence for Systematic Reviews: The University of Sheffield's Approach to CLEF eHealth 2017 Task 2 Amal H. Alharbi and Mark Stevenson Conference and Labs of the Evaluation Forum 2017 - 18 citations - Show abstract - Cite 0.1% topic match

0.1%
210.5
2023
[334] A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT Ce Zhou, ..., and Salesforce Research ArXiv 2023 - 370 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
548.4
2023
[335] A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity Yejin Bang, ..., and Pascale Fung ArXiv 2023 - 979 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
0.0
2023
[336] Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study Qingxia Wu, ..., and Meiyun Wang JMIR Medical Informatics 2023 - 0 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
116.3
2023
[337] Large Language Models are Zero-Shot Rankers for Recommender Systems Yupeng Hou, ..., and Wayne Xin Zhao European Conference on Information Retrieval 2023 - 177 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
45.3
2021
[338] The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020) M. Egi, ..., and O. Nishida Journal of Intensive Care 2021 - 147 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
3.1
2023
[339] Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study Changyu Wang, ..., and Jialin Liu Journal of Medical Internet Research 2023 - 4 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
11.2
2023
[340] Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals Ward Hendrix, ..., and C. Jacobs European Radiology 2023 - 16 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
28.6
2022
[341] Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature Tomas Goldsack, ..., and Carolina Scarton ArXiv 2022 - 60 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
0.0
2024
[342] Systematic review and meta-analysis of preclinical studies B. Ineichen, ..., and Kimberley E. Wever Nature Reviews Methods Primers 2024 - 0 citations - Show abstract - Cite 0.1% topic match

0.1%
0.0
2024
[343] Exploring ChatGPT's Ability to Classify the Structure of Literature Reviews in Engineering Research Articles Maha Issa, ..., and Niveen AbiGhannam IEEE Transactions on Learning Technologies 2024 - 0 citations - Show abstract - Cite 0.1% topic match

0.1%
96.7
2023
[344] ChatGPT: Is this version good for healthcare and research? Raju Vaishya, ..., and A. Vaish Diabetes & metabolic syndrome 2023 - 167 citations - Show abstract - Cite 0.1% topic match

0.1%
110.0
2009
[345] Reconstructing the giant: On the importance of rigour in documenting the literature search process Jan vom Brocke, ..., and Anne Cleven European Conference on Information Systems 2009 - 1700 citations - Show abstract - Cite 0.1% topic match

0.1%
27.2
2019
[346] Best practice guidelines for abstract screening large‐evidence systematic reviews and meta‐analyses J. Polanin, ..., and Jennifer K Grotpeter Research Synthesis Methods 2019 - 147 citations - Show abstract - Cite - PDF 0.1% topic match

0.1%
0.0
2024
[347] Large Language Models in Pathology: A Comparative Study on Multiple Choice QuestionPerformance with Pathology Trainees MD Wei Du, ..., and MD PhD Shunsuke Koga medRxiv 2024 - 0 citations - Show abstract - Cite 0.1% topic match

0.1%
1.6
2017
[348] LIMSI@CLEF eHealth 2017 Task 2: Logistic Regression for Automatic Article Ranking Christopher Norman, ..., and Aurélie Névéol Conference and Labs of the Evaluation Forum 2017 - 13 citations - Show abstract - Cite 0.1% topic match

0.1%
7.2
2024
[349] Evaluating GPT-V4 (GPT-4 with Vision) on Detection of Radiologic Findings on Chest Radiographs. Yiliang Zhou, ..., and Yifan Peng Radiology 2024 - 4 citations - Show abstract - Cite 0.1% topic match

0.1%
22.5
2023
[350] Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models Emily Alsentzer, ..., and V. Kovacheva NPJ Digital Medicine 2023 - 22 citations - Show abstract - Cite - PDF 0.1% topic match

0.0%
0.0
2024
[351] EXPLORING THE POTENTIAL AND LIMITATIONS OF CHATGPT IN ACADEMIC WRITING AND EDITORIAL TASKS Akın Akpur Fırat Üniversitesi Sosyal Bilimler Dergisi 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
32.1
2018
[352] Covidence and Rayyan Liz Kellermeyer, ..., and S. Knight Journal of the Medical Library Association : JMLA 2018 - 197 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
3.0
2020
[353] A Computational Approach for Objectively Derived Systematic Review Search Strategies Harrisen Scells, ..., and Justin Clark Advances in Information Retrieval 2020 - 14 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
1.1
2017
[354] IIIT-H at CLEF eHealth 2017 Task 2: Technologically Assisted Reviews in Empirical Medicine Jaspreet Singh and Lini Thomas Conference and Labs of the Evaluation Forum 2017 - 9 citations - Show abstract - Cite 0.0% topic match

0.0%
11.1
2006
[355] Selecting Studies for Systemic Review: Inclusion and Exclusion Criteria T. Meline https://doi.org/10.1044/CICSD_33_S_21 2006 - 208 citations - Show abstract - Cite 0.0% topic match

0.0%
13.3
2022
[356] Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews A. Valizadeh, ..., and S. Faghani BMC Medical Research Methodology 2022 - 33 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
25.4
2023
[357] A systematic evaluation of large language models for biomedical natural language processing: benchmarks, baselines, and recommendations Qingyu Chen, ..., and Huan Xu Journal Not Provided 2023 - 39 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
3.3
2024
[358] Association of reviewer experience with discriminating human-written versus ChatGPT-written abstracts Gabriel Levin, ..., and Pedro T. Ramirez International Journal of Gynecological Cancer 2024 - 2 citations - Show abstract - Cite 0.0% topic match

0.0%
4765.0
2023
[359] LLaMA: Open and Efficient Foundation Language Models Hugo Touvron, ..., and Guillaume Lample ArXiv 2023 - 8258 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
3.2
2023
[360] Paper 4: Search methods and approaches for living guidelines S. McDonald, ..., and David Fraile Navarro Journal of clinical epidemiology 2023 - 6 citations - Show abstract - Cite 0.0% topic match

0.0%
40.8
2022
[361] BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model Hongyi Yuan, ..., and Sheng Yu ArXiv 2022 - 107 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2024
[362] Analysis of the orthopaedic trauma literature utilizing machine learning and latent dirichlet allocation MD M. Andrew Rowley Jr, ..., and MD Langdon A. Hartsock Current Orthopaedic Practice 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
46.8
2023
[363] Investigating the use of ChatGPT for the scheduling of construction projects S. Prieto, ..., and Borja García de Soto ArXiv 2023 - 85 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
44.9
2020
[364] How to complete a full systematic review in 2 weeks: processes, facilitators and barriers. J. Clark, ..., and A. Scott Journal of clinical epidemiology 2020 - 216 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
30.2
2023
[365] Using ChatGPT for human–computer interaction research: a primer Wilbert Tabone and Joost C. F. de Winter Royal Society Open Science 2023 - 37 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2023
[366] The Pulse of Artificial Intelligence in Cardiology: A Comprehensive Evaluation of State-of-the-art Large Language Models for Potential Use in Clinical Cardiology Andrej Novak, ..., and Š. Manola medRxiv 2023 - 0 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2024
[367] Research on confusing responses based on ChatGPT Huiwen Xiong Applied and Computational Engineering 2024 - 0 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
4.8
2022
[368] Automatic Extraction of Social Determinants of Health from Medical Notes of Chronic Lower Back Pain Patients D. Lituiev, ..., and Thomas A. Peterson Journal of the American Medical Informatics Association : JAMIA 2022 - 13 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
3.4
2021
[369] MeSH Term Suggestion for Systematic Review Literature Search Shuai Wang, ..., and G. Zuccon Proceedings of the 25th Australasian Document Computing Symposium 2021 - 10 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
2069.0
2010
[370] Cochrane Handbook for Systematic Reviews of Interventions Julian P T Higgins and Sally Green International Coaching Psychology Review 2010 - 29626 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
30.9
2018
[371] A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature Benjamin E. Nye, ..., and Byron C. Wallace Proceedings of the conference. Association for Computational Linguistics. Meeting 2018 - 199 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
265.6
2024
[372] Gemma: Open Models Based on Gemini Research and Technology Gemma Team Thomas Mesnard, ..., and Kathleen Kenealy ArXiv 2024 - 184 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
57.8
2023
[373] Accuracy and Reliability of Chatbot Responses to Physician Questions Rachel S. Goodman, ..., and Douglas B. Johnson JAMA Network Open 2023 - 66 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
7.0
2023
[374] The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review Álisson Oliveira dos Santos, ..., and V. S. Belo Journal of biomedical informatics 2023 - 11 citations - Show abstract - Cite 0.0% topic match

0.0%
551.2
2023
[375] PaLM 2 Technical Report Rohan Anil, ..., and Yonghui Wu ArXiv 2023 - 836 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
34.4
2023
[376] Using ChatGPT in Medical Research: Current Status and Future Directions Suebsarn Ruksakulpiwat, ..., and Anuoluwapo Ajibade Journal of Multidisciplinary Healthcare 2023 - 51 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2024
[377] How good is ChatGPT? An exploratory study on ChatGPT's performance in engineering design tasks and subjective decision-making Wanyu Xu, ..., and Daniel A. McAdams Proceedings of the Design Society 2024 - 0 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
22.0
2010
[378] Semi-automated screening of biomedical citations for systematic reviews Byron C. Wallace, ..., and C. Schmid BMC Bioinformatics 2010 - 326 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
2.8
2017
[379] ECNU at 2017 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine Huaying Wu, ..., and Liang He Conference and Labs of the Evaluation Forum 2017 - 22 citations - Show abstract - Cite 0.0% topic match

0.0%
8.0
2017
[380] An exploration of crowdsourcing citation screening for systematic reviews Michael L. Mortensen, ..., and Byron C. Wallace Research Synthesis Methods 2017 - 59 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
67.3
2013
[381] A systematic review of systematic review process research in software engineering B. Kitchenham and P. Brereton Inf. Softw. Technol. 2013 - 739 citations - Show abstract - Cite 0.0% topic match

0.0%
199.0
2023
[382] Abstracts written by ChatGPT fool scientists Holly Else Nature 2023 - 370 citations - Show abstract - Cite 0.0% topic match

0.0%
0.9
2023
[383] Leveraging GPT-4 for Identifying Cancer Phenotypes in Electronic Health Records: A Performance Comparison between GPT-4, GPT-3.5-turbo, Flan-T5 and spaCy’s Rule-based & Machine Learning-based methods Kriti Bhattarai, ..., and Albert M Lai bioRxiv 2023 - 1 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2024
[384] Comparative performance of artificial ıntelligence models in physical medicine and rehabilitation board-level questions A. K. Menekşeoğlu and E. Is Revista da Associação Médica Brasileira 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
23.7
2023
[385] ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing Ryan Liu and Nihar B. Shah ArXiv 2023 - 35 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
364.9
2005
[386] Understanding interobserver agreement: the kappa statistic. A. Viera and J. Garrett Family medicine 2005 - 7138 citations - Show abstract - Cite 0.0% topic match

0.0%
6.0
2022
[387] Automated MeSH Term Suggestion for Effective Query Formulation in Systematic Reviews Literature Search Shuai Wang, ..., and G. Zuccon Intell. Syst. Appl. 2022 - 13 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
73.8
2022
[388] MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering Ankit Pal, ..., and Malaikannan Sankarasubbu ACM Conference on Health, Inference, and Learning 2022 - 196 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
13.3
2023
[389] Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records Gerbrich Ferdinands, ..., and R. van de Schoot Systematic Reviews 2023 - 19 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
1.2
2024
[390] Advancing Medical Practice with Artificial Intelligence: ChatGPT in Healthcare. Idit Tessler, ..., and Eyal Klang The Israel Medical Association journal : IMAJ 2024 - 1 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2024
[391] ChatGPT, a Friend or a Foe in Medical Education: A Review of Strengths, Challenges, and Opportunities Mahdi Zarei, ..., and Mohammad-Salar Hosseini Shiraz E-Medical Journal 2024 - 0 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
21.4
2015
[392] RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials I. Marshall, ..., and Byron C. Wallace Journal of the American Medical Informatics Association : JAMIA 2015 - 202 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
12.8
2023
[393] Harnessing ChatGPT and GPT-4 for evaluating the rheumatology questions of the Spanish access exam to specialized medical training Alfredo Madrid-García, ..., and L. Rodríguez-Rodríguez Scientific Reports 2023 - 17 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
3.2
2015
[394] Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches A. O'Mara-Eves, ..., and S. Ananiadou Systematic Reviews 2015 - 31 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2024
[395] Leveraging AI to improve evidence synthesis in conservation. O. Berger‐Tal, ..., and S. Nakagawa Trends in ecology & evolution 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
10.5
2023
[396] Navigating the Landscape of Personalized Medicine: The Relevance of ChatGPT, BingChat, and Bard AI in Nephrology Literature Searches Noppawit Aiumtrakul, ..., and W. Cheungpasitporn Journal of Personalized Medicine 2023 - 12 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
81.6
2023
[397] Adapted large language models can outperform medical experts in clinical text summarization. Dave Van Veen, ..., and Akshay S. Chaudhari Nature medicine 2023 - 97 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
4.4
2023
[398] Clinical Profile of Patients with Idiopathic Pulmonary Fibrosis in Real Life D. Morena, ..., and J. Izquierdo Journal of Clinical Medicine 2023 - 8 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
109.0
2023
[399] Prompt Engineering with ChatGPT: A Guide for Academic Writers L. Giray Annals of Biomedical Engineering 2023 - 159 citations - Show abstract - Cite 0.0% topic match

0.0%
1156.5
2022
[400] Scaling Instruction-Finetuned Language Models Hyung Won Chung, ..., and Jason Wei ArXiv 2022 - 2416 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
6.3
2020
[401] Automatic Boolean Query Formulation for Systematic Review Literature Search Harrisen Scells, ..., and Justin Clark Proceedings of The Web Conference 2020 2020 - 29 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2023
[402] The Case Records of ChatGPT: Language Models and Complex Clinical Questions T. Poterucha, ..., and C. Haggerty ArXiv 2023 - 0 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
8.3
2011
[403] Technology-Assisted Review in E-Discovery Can Be More Effective and More Efficient Than Exhaustive Manual Review Maura R. Grossman and G. Cormack Richmond Journal of Law and Technology 2011 - 115 citations - Show abstract - Cite 0.0% topic match

0.0%
1.9
2013
[404] ‘Clustering’ documents automatically to support scoping reviews of research: a case study C. Stansfield, ..., and J. Kavanagh Research Synthesis Methods 2013 - 21 citations - Show abstract - Cite 0.0% topic match

0.0%
85.7
2021
[405] How to properly use the PRISMA Statement R. Sarkis-Onofre, ..., and C. Lockwood Systematic Reviews 2021 - 308 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
19.0
2001
[406] Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests N. Dendukuri and L. Joseph Biometrics 2001 - 451 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
11.8
2023
[407] MedKPL: A heterogeneous knowledge enhanced prompt learning framework for transferable diagnosis Yuxing Lu, ..., and Guangyu Wang Journal of biomedical informatics 2023 - 17 citations - Show abstract - Cite 0.0% topic match

0.0%
16.3
2022
[408] Improving Chest X-Ray Report Generation by Leveraging Warm-Starting Aaron Nicolson, ..., and B. Koopman Artificial intelligence in medicine 2022 - 46 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2024
[409] Can large language model replace static analysis tools Han Cui https://doi.org/10.1117/12.3031920 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
41.0
2022
[410] Human heuristics for AI-generated language are flawed Maurice Jakesch, ..., and Mor Naaman Proceedings of the National Academy of Sciences of the United States of America 2022 - 100 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
48.2
2023
[411] Potential of ChatGPT and GPT-4 for Data Mining of Free-Text CT Reports on Lung Cancer. M. Fink, ..., and T. Weber Radiology 2023 - 59 citations - Show abstract - Cite 0.0% topic match

0.0%
2.3
2024
[412] Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction Micol Spitale, ..., and Hatice Gunes ArXiv 2024 - 1 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2023
[413] Comprehensive analysis of the performance of GPT-3.5 and GPT-4 on the American Urological Association self-assessment study program exams from 2012-2023. Ali Sherazi and David Canes Canadian Urological Association journal = Journal de l'Association des urologues du Canada 2023 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
66.4
2023
[414] How AI Responds to Common Lung Cancer Questions: ChatGPT vs Google Bard. A. Rahsepar, ..., and Arash Bedayat Radiology 2023 - 98 citations - Show abstract - Cite 0.0% topic match

0.0%
993.0
2023
[415] A Survey of Large Language Models Wayne Xin Zhao, ..., and Ji-rong Wen ArXiv 2023 - 1634 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
7.2
2022
[416] Artificial Intelligence–Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study Zain U. Hussain, ..., and Amir Hussain JMIR Public Health and Surveillance 2022 - 20 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2024
[417] Text Origin Detection: Unmasking the Source – AI vs Human Vishesh Pandita, ..., and Priyadarshini Patil 2024 5th International Conference for Emerging Technology (INCET) 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
6.1
2024
[418] Large language models overcome the challenges of unstructured text data in ecology Andry Castro, ..., and César Capinha bioRxiv 2024 - 2 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
2.6
2020
[419] You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews Harrisen Scells, ..., and B. Koopman Advances in Information Retrieval 2020 - 12 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
14.6
2020
[420] An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes C. Hamel, ..., and B. Hutton BMC Medical Research Methodology 2020 - 60 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2024
[421] Impact of Large Language Models on Medical Education and Teaching Adaptations Li Zhui, ..., and Ren Wei JMIR Medical Informatics 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
367.5
2023
[422] Artificial Hallucinations in ChatGPT: Implications in Scientific Writing H. Alkaissi and Samy I McFarlane Cureus 2023 - 663 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2024
[423] Rationale Dataset and Analysis for the Commit Messages of the Linux Kernel Out-of-Memory Killer Mouna Dhaouadi, ..., and Michalis Famelis 2024 IEEE/ACM 32nd International Conference on Program Comprehension (ICPC) 2024 - 0 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
1.4
2017
[424] Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews A. Anagnostou, ..., and I. Vlahavas Conference and Labs of the Evaluation Forum 2017 - 11 citations - Show abstract - Cite 0.0% topic match

0.0%
1.0
2023
[425] GPT-4 and Neurologists in Screening for Mild Cognitive Impairment in the Elderly: A Comparative Analysis Study Hao Yang, ..., and Siru Liu medRxiv 2023 - 1 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
58.4
2023
[426] Overview of Early ChatGPT’s Presence in Medical Literature: Insights From a Hybrid Literature Review by ChatGPT and Human Experts Omar Temsah, ..., and A. Al-Eyadhy Cureus 2023 - 96 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
13.9
2015
[427] Better duplicate detection for systematic reviewers: evaluation of Systematic Review Assistant-Deduplication Module J. Rathbone, ..., and P. Glasziou Systematic Reviews 2015 - 137 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.5
2011
[428] How can we find relevant research more quickly James Thomas and A. O'Mara-Eves Journal Not Provided 2011 - 7 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2024
[429] End-To-End Clinical Trial Matching with Large Language Models Dyke Ferber, ..., and J. N. Kather Journal Not Provided 2024 - 0 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
1.9
1958
[430] Science and religion in seventeenth-century England R. Westfall https://doi.org/10.2307/1845472 1958 - 129 citations - Show abstract - Cite 0.0% topic match

0.0%
156.2
2023
[431] ChatGPT for (Finance) Research: The Bananarama Conjecture M. Dowling and B. Lucey SSRN Electronic Journal 2023 - 295 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
45.5
2010
[432] Expediting systematic reviews: methods and implications of rapid reviews Rebecca Ganann, ..., and H. Thomas Implementation Science : IS 2010 - 653 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
1.8
2023
[433] ChatGPT-Crawler: Find out if ChatGPT really knows what it's talking about Aman Rangapur and Haoran Wang ArXiv 2023 - 3 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
39.7
2012
[434] Deploying an interactive machine learning system in an evidence-based practice center: abstrackr Byron C. Wallace, ..., and T. Trikalinos International Health Informatics Symposium 2012 - 509 citations - Show abstract - Cite 0.0% topic match

0.0%
10.4
2019
[435] CLEF 2019 Technology Assisted Reviews in Empirical Medicine Overview E. Kanoulas, ..., and René Spijker Conference and Labs of the Evaluation Forum 2019 - 61 citations - Show abstract - Cite 0.0% topic match

0.0%
18.6
2020
[436] Single-reviewer abstract screening missed 13 percent of relevant studies: a crowd-based, randomized controlled trial. G. Gartlehner, ..., and F. König Journal of clinical epidemiology 2020 - 90 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
3.8
2011
[437] Exploiting the systematic review protocol for classification of medical abstracts Oana Frunza, ..., and P. O'Blenis Artificial intelligence in medicine 2011 - 53 citations - Show abstract - Cite 0.0% topic match

0.0%
16.8
1980
[438] Estimating the error rates of diagnostic tests. S. Hui and S. Walter Biometrics 1980 - 753 citations - Show abstract - Cite 0.0% topic match

0.0%
150.4
2023
[439] ChatGPT in education: Strategies for responsible implementation Mohanad Halaweh Contemporary Educational Technology 2023 - 247 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
6.9
2020
[440] A comparison of automatic Boolean query formulation for systematic reviews Harrisen Scells, ..., and B. Koopman Information Retrieval Journal 2020 - 28 citations - Show abstract - Cite 0.0% topic match

0.0%
1.8
2014
[441] Study of bacterial meningitis in children below 5 years with comparative evaluation of gram staining, culture and bacterial antigen detection. Kala Yadhav Ml Journal of clinical and diagnostic research : JCDR 2014 - 19 citations - Show abstract - Cite 0.0% topic match

0.0%
1.2
2024
[442] Current applications and future potential of ChatGPT in radiology: A systematic review H. Temperley, ..., and Ian Brennan Journal of Medical Imaging and Radiation Oncology 2024 - 1 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
4.4
2011
[443] Automatic Summarization of Results from Clinical Trials Rodney L. Summerscales, ..., and A. Schwartz 2011 IEEE International Conference on Bioinformatics and Biomedicine 2011 - 57 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
23.0
2023
[444] BioSeq-Diabolo: Biological sequence similarity analysis using Diabolo Hongliang Li and Bin Liu PLOS Computational Biology 2023 - 34 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
1.7
2008
[445] Facilitating biomedical systematic reviews using ranked text retrieval and classification David Martínez, ..., and Timothy Baldwin Journal Not Provided 2008 - 29 citations - Show abstract - Cite 0.0% topic match

0.0%
299.4
2020
[446] GPT-3: Its Nature, Scope, Limits, and Consequences L. Floridi and Massimo Chiriatti Minds and Machines 2020 - 1214 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2024
[447] Leveraging ChatGPT for Effective Research Design and Data Analysis — An Example with Research on Short Video Addiction Mengchan Zhang, ..., and Mi Kang Asian Journal on Addictions 2024 - 0 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
3.0
2021
[448] The rationale behind systematic reviews in clinical medicine: a conceptual framework Hamideh Moosapour, ..., and B. Larijani Journal of Diabetes & Metabolic Disorders 2021 - 11 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2023
[449] Advancing radiology practice and research: harnessing the potential of large language models amidst imperfections Eyal Klang, ..., and Eyal Zimlichman BJR Open 2023 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
178.8
2023
[450] Role of Chat GPT in Public Health Som S. Biswas Annals of Biomedical Engineering 2023 - 302 citations - Show abstract - Cite 0.0% topic match

0.0%
11.4
2023
[451] ChatGPT Surpasses 1000 Publications on PubMed: Envisioning the Road Ahead M. Temsah, ..., and A. Al-Eyadhy Cureus 2023 - 14 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2024
[452] Enhancing interpretation assistance by real-time query resolution in BICR of oncology clinical trials by leveraging ChatGPT bots Manish Sharma, ..., and Ron Korn https://doi.org/10.1117/12.3011602 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
13.4
2021
[453] Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning Guangyi Liu, ..., and Shuguang Cui IEEE Transactions on Neural Networks and Learning Systems 2021 - 44 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
790.1
2019
[454] BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee, ..., and Jaewoo Kang Bioinformatics 2019 - 4601 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
1427.3
2018
[455] Improving Language Understanding by Generative Pre-Training Alec Radford and Karthik Narasimhan Journal Not Provided 2018 - 9832 citations - Show abstract - Cite 0.0% topic match

0.0%
304.8
2023
[456] Chatting about ChatGPT: How May AI and GPT Impact Academia and Libraries? B. Lund and Wang Ting SSRN Electronic Journal 2023 - 539 citations - Show abstract - Cite 0.0% topic match

0.0%
4.6
2022
[457] Automation of Citation Screening for Systematic Literature Reviews using Neural Networks: A Replicability Study Wojciech Kusa, ..., and Petr Knoth ArXiv 2022 - 13 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
2.9
2017
[458] An Interactive Two-Dimensional Approach to Query Aspects Rewriting in Systematic Reviews. IMS Unipd At CLEF eHealth Task 2 Giorgio Maria Di Nunzio, ..., and Geneviève Henrot Conference and Labs of the Evaluation Forum 2017 - 23 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2024
[459] Assessing Generative Pretrained Transformers (GPT) in Clinical Decision-Making: Comparative Analysis of GPT-3.5 and GPT-4 Adi Lahat, ..., and Eyal Klang Journal of Medical Internet Research 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
37.4
1999
[460] Untangling Text Data Mining Marti A. Hearst Annual Meeting of the Association for Computational Linguistics 1999 - 952 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
3.0
2024
[461] Evaluation of the Diagnostic Accuracy of GPT-4 in Five Thousand Rare Disease Cases PhD Justin T Reese, ..., and P. N. Robinson medRxiv 2024 - 1 citations - Show abstract - Cite 0.0% topic match

0.0%
35.6
2021
[462] BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models Hongliang Li, ..., and Bin Liu Nucleic Acids Research 2021 - 112 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
25.4
2022
[463] Legal Prompting: Teaching a Language Model to Think Like a Lawyer Fang Yu, ..., and Frank Schilder ArXiv 2022 - 50 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2023
[464] Abstract 16022: Evaluating the Utility of OpenAI’s GPT-4 as a Diagnostic and Management Aid in Medicine Alan Ge, ..., and Andrew Krumerman Circulation 2023 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
1120.6
2022
[465] Large Language Models are Zero-Shot Reasoners Takeshi Kojima, ..., and Yusuke Iwasawa ArXiv 2022 - 2798 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
8.5
2023
[466] Distilling Large Language Models for Matching Patients to Clinical Trials Mauro Nievas, ..., and Hrituraj Singh Journal of the American Medical Informatics Association : JAMIA 2023 - 8 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
73.8
2023
[467] The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification D. Chicco and Giuseppe Jurman BioData Mining 2023 - 130 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
64.2
2023
[468] One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era Chaoning Zhang, ..., and Choong-Seon Hong ArXiv 2023 - 105 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2023
[469] Assessing ChatGPT for Text Summarization, Simplification and Extraction Tasks R. Tariq, ..., and Rui Zhang 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI) 2023 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2024
[470] Assessing the potential role of ChatGPT in spine surgery research Isabel Herzog, ..., and Michael Vives Journal of Experimental Orthopaedics 2024 - 0 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
6.9
2023
[471] An open source corpus and automatic tool for section identification in Spanish health records Iker de la Iglesia, ..., and Aitziber Atutxa Journal of biomedical informatics 2023 - 9 citations - Show abstract - Cite 0.0% topic match

0.0%
5.1
2020
[472] Automating Systematic Literature Review K. Felizardo and Jeffrey C. Carver https://doi.org/10.1007/978-3-030-32489-6_12 2020 - 25 citations - Show abstract - Cite 0.0% topic match

0.0%
3.2
2018
[473] Retrieving and Ranking Studies for Systematic Reviews: University of Sheffield's Approach to CLEF eHealth 2018 Task 2 Amal H. Alharbi, ..., and Mark Stevenson Conference and Labs of the Evaluation Forum 2018 - 20 citations - Show abstract - Cite 0.0% topic match

0.0%
2.2
2024
[474] Exploring the Latest LLMs for Leaderboard Extraction Salomon Kabongo, ..., and Sören Auer ArXiv 2024 - 1 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
92.5
2023
[475] Is ChatGPT Leading Generative AI? What is Beyond Expectations? Ömer Aydın and Enis Karaarslan SSRN Electronic Journal 2023 - 119 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
35.9
2023
[476] How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks Xuanting Chen, ..., and Xuanjing Huang ArXiv 2023 - 62 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
2256.5
2009
[477] The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration A. Liberati, ..., and D. Moher PLoS Medicine 2009 - 34733 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
325.3
2023
[478] Capabilities of GPT-4 on Medical Challenge Problems Harsha Nori, ..., and E. Horvitz ArXiv 2023 - 545 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
13.3
2018
[479] Technology-assisted title and abstract screening for systematic reviews: a retrospective evaluation of the Abstrackr machine learning tool A. Gates, ..., and L. Hartling Systematic Reviews 2018 - 89 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
1350.7
2016
[480] Rayyan—a web and mobile app for systematic reviews M. Ouzzani, ..., and A. Elmagarmid Systematic Reviews 2016 - 10754 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
460.1
2022
[481] LaMDA: Language Models for Dialog Applications R. Thoppilan, ..., and Quoc Le ArXiv 2022 - 1305 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
5.0
2023
[482] The shift in research trends related to artificial intelligence in library repositories during the coronavirus pandemic Prasetyo Adi Nugroho, ..., and Noraini Ismail Library Hi Tech 2023 - 8 citations - Show abstract - Cite 0.0% topic match

0.0%
6.5
2020
[483] Automating B. Lopatin Django Standalone Apps 2020 - 32 citations - Show abstract - Cite 0.0% topic match

0.0%
25.6
2023
[484] Suicide Risk Assessments Through the Eyes of ChatGPT-3.5 Versus ChatGPT-4: Vignette Study I. Levkovich and Z. Elyoseph JMIR Mental Health 2023 - 30 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2023
[485] ChatGPT: A Comprehensive Review of a Large Language Model K. Kaswan, ..., and D. Yadav 2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI) 2023 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
45.3
2023
[486] A medical multimodal large language model for future pandemics Fenglin Liu, ..., and David A. Clifton NPJ Digital Medicine 2023 - 44 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2024
[487] The role of ChatGPT in developing systematic literature searches: an evidence summary Veronica Parisi and Anthea Sutton Journal of EAHIL 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2024
[488] Assessing GPT-4’s Performance in Delivering Medical Advice: Comparative Analysis With Human Experts Eunbeen Jo, ..., and H. J. Joo JMIR Medical Education 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
2.4
2018
[489] Nivolumab for adults with Hodgkin's lymphoma (a rapid review using the software RobotReviewer). M. Goldkuhle, ..., and N. Skoetz The Cochrane database of systematic reviews 2018 - 15 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
13563.5
2019
[490] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin, ..., and Kristina Toutanova North American Chapter of the Association for Computational Linguistics 2019 - 79877 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
59.0
1993
[491] Bias, prevalence and kappa. T. Byrt, ..., and J. Carlin Journal of clinical epidemiology 1993 - 1861 citations - Show abstract - Cite 0.0% topic match

0.0%
0.8
2023
[492] Utilizing Artificial Intelligence Tools Using the GPT Chatbot in Medicine - A Review of Flaws, Advantages, and Limitations Krzysztof Edyko, ..., and Urszula Marchewka Journal of Education, Health and Sport 2023 - 1 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
14.8
2023
[493] Multiple sequence alignment-based RNA language model and its application to structural inference Yikun Zhang, ..., and Yaoqi Zhou Nucleic Acids Research 2023 - 25 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
10.4
2024
[494] Accuracy of GPT-4 in histopathological image detection and classification of colorectal adenomas T. Laohawetwanit, ..., and Sompon Apornvirat Journal of Clinical Pathology 2024 - 9 citations - Show abstract - Cite 0.0% topic match

0.0%
5.2
2024
[495] Artificial Intelligence for Literature Reviews: Opportunities and Challenges Francisco Bolanos, ..., and Enrico Motta ArXiv 2024 - 4 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2023
[496] Exploring the User Experience and the Role of ChatGPT in the Academic Writing Process Reem Alqadi, ..., and A. B. Najjar 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) 2023 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
10.8
2023
[497] Application ChatGPT in conducting systematic reviews and meta-analyses S. Mahuli, ..., and Ansul Kumar British Dental Journal 2023 - 15 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
6.2
2017
[498] Using ontology-based semantic similarity to facilitate the article screening process for systematic reviews Xiaonan Ji, ..., and Po-Yin Yen Journal of biomedical informatics 2017 - 47 citations - Show abstract - Cite 0.0% topic match

0.0%
2.2
2023
[499] Evaluating the Performance of Large Language Models on a Neurology Board-Style Examination M. Schubert, ..., and V. Venkataramani medRxiv 2023 - 3 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
50.4
2023
[500] ChatGPT goes to the operating room: evaluating GPT-4 performance and its potential in surgical education and training in the era of large language models N. Oh, ..., and W. Lee Annals of Surgical Treatment and Research 2023 - 79 citations - Show abstract - Cite 0.0% topic match

0.0%
17.6
2023
[501] ChatGPT and Artificial Intelligence in Medical Writing: Concerns and Ethical Considerations A. Doyal, ..., and Ricardo A Serrano Cureus 2023 - 23 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
13610.7
2017
[502] Attention is All you Need Ashish Vaswani, ..., and Illia Polosukhin Neural Information Processing Systems 2017 - 101321 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
7.6
2023
[503] Transformer-based structuring of free-text radiology report databases S. Nowak, ..., and A. Sprinkart European Radiology 2023 - 13 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
1.8
2024
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0.0%
3.6
2022
[505] A systematic review and meta-analysis of studies on screening for mild cognitive impairment in primary healthcare L. Karimi, ..., and M. Farahbakhsh BMC Psychiatry 2022 - 10 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
65.5
2023
[506] Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study Arya Rao, ..., and M. Succi Journal of Medical Internet Research 2023 - 82 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
6.7
2024
[507] Can ChatGPT-3.5 Pass a Medical Exam? A Systematic Review of ChatGPT's Performance in Academic Testing Anusha Sumbal, ..., and Alina Amir Journal of Medical Education and Curricular Development 2024 - 6 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
4.5
2023
[508] The impact and applications of ChatGPT: a systematic review of literature reviews I. Gabashvili ArXiv 2023 - 7 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
33.3
2014
[509] Systematic review automation technologies G. Tsafnat, ..., and E. Coiera Systematic Reviews 2014 - 345 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
4.3
2023
[510] Outpatient Treatment of Confirmed COVID-19: A Living, Rapid Evidence Review for the American College of Physicians (Version 2) I. Sommer, ..., and G. Gartlehner Annals of Internal Medicine 2023 - 5 citations - Show abstract - Cite 0.0% topic match

0.0%
1.6
2024
[511] Exploring ChatGPT's abilities in medical article writing and peer review Gultekin Kadi and Mehmet ali Aslaner Croatian Medical Journal 2024 - 1 citations - Show abstract - Cite 0.0% topic match

0.0%
1.4
2024
[512] Quality, Accuracy, and Bias in ChatGPT-Based Summarization of Medical Abstracts Joel Hake, ..., and D. J. Parente Annals of Family Medicine 2024 - 1 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2024
[513] Addressing High-value Care with Generative Pretrained Transformer 4 Jassimran Singh, ..., and Navya Reddy Perkit Journal of Primary Care Specialties 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
1.5
2024
[514] LLMs in HCI Data Work: Bridging the Gap Between Information Retrieval and Responsible Research Practices Neda Taghizadeh Serajeh, ..., and Mattia De Rosa ArXiv 2024 - 1 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
15.1
2023
[515] The Potential Usefulness of ChatGPT in Oral and Maxillofacial Radiology J. Mago and Manoj Sharma Cureus 2023 - 21 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
6.7
2023
[516] An analysis of work saved over sampling in the evaluation of automated citation screening in systematic literature reviews Wojciech Kusa, ..., and A. Hanbury Intell. Syst. Appl. 2023 - 12 citations - Show abstract - Cite 0.0% topic match

0.0%
10.6
2023
[517] An AI Dietitian for Type 2 Diabetes Mellitus Management Based on Large Language and Image Recognition Models: Preclinical Concept Validation Study Haonan Sun, ..., and Dongran Han Journal of Medical Internet Research 2023 - 14 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
13.9
2023
[518] Evaluating the Efficacy of ChatGPT in Navigating the Spanish Medical Residency Entrance Examination (MIR): Promising Horizons for AI in Clinical Medicine F. Guillén-Grima, ..., and I. Aguinaga-Ontoso Clinics and Practice 2023 - 14 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
0.0
2023
[519] [Evidence synthesis 2.0: how artificial intelligence is making systematic reviews more efficient.] Davide Petri Recenti progressi in medicina 2023 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2024
[520] Using ChatGPT to perform a systematic review: a tutorial. Lefteris Teperikidis, ..., and Giuseppe Biondi-Zoccai Minerva cardiology and angiology 2024 - 0 citations - Show abstract - Cite 0.0% topic match

0.0%
6.7
2023
[521] The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant Jingqing Zhang, ..., and Yike Guo ArXiv 2023 - 9 citations - Show abstract - Cite - PDF 0.0% topic match

0.0%
None
None
[522] Detection of ChatGPT Fake Science with the xFakeBibs Learning Algorithm A. Hamed and Xin Wu Journal Not Provided None - 1 citations - Show abstract - Cite 0.0% topic match

0.0%
29909.5
2014
[523] R: A language and environment for statistical computing. R. Team MSOR connections 2014 - 325668 citations - Show abstract - Cite 0.0% topic match

0.0%
0.0
2024
[524] Assessing the Effectiveness of GPT-4o in Climate Change Evidence Synthesis and Systematic Assessments: Preliminary Insights E. Joe, ..., and Christine J Kirchhoff Journal Not Provided 2024 - 0 citations - Show abstract - Cite - PDF 0.0% topic match

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