This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (288) Artificial Intelligence (1323) Chatbots and Conversational Agents (514) Natural Language Processing (676)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48996, first published .
Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study

Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study

Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study

Authors of this article:

Eddie Guo1 Author Orcid Image ;   Mehul Gupta1 Author Orcid Image ;   Jiawen Deng2 Author Orcid Image ;   Ye-Jean Park2 Author Orcid Image ;   Michael Paget1 Author Orcid Image ;   Christopher Naugler1 Author Orcid Image
Article Authors Cited by (18) Tweetations (61) Metrics Author Video

Journals

  1. Kohandel Gargari O, Mahmoudi M, Hajisafarali M, Samiee R. Enhancing title and abstract screening for systematic reviews with GPT-3.5 turbo. BMJ Evidence-Based Medicine 2023:bmjebm-2023-112678 View
  2. Ye A, Maiti A, Schmidt M, Pedersen S. A Hybrid Semi-Automated Workflow for Systematic and Literature Review Processes with Large Language Model Analysis. Future Internet 2024;16(5):167 View
  3. Tran V, Gartlehner G, Yaacoub S, Boutron I, Schwingshackl L, Stadelmaier J, Sommer I, Alebouyeh F, Afach S, Meerpohl J, Ravaud P. Sensitivity and Specificity of Using GPT-3.5 Turbo Models for Title and Abstract Screening in Systematic Reviews and Meta-analyses. Annals of Internal Medicine 2024;177(6):791 View
  4. Yoon D, Han C, Kim D, Kim S, Bae S, Ryu J, Choi Y. Redefining Health Care Data Interoperability: Empirical Exploration of Large Language Models in Information Exchange. Journal of Medical Internet Research 2024;26:e56614 View
  5. Riaz I, Naqvi S, Hasan B, Murad M. Future of Evidence Synthesis: Automated, Living, and Interactive Systematic Reviews and Meta-analyses. Mayo Clinic Proceedings: Digital Health 2024;2(3):361 View
  6. Landschaft A, Antweiler D, Mackay S, Kugler S, Rüping S, Wrobel S, Höres T, Allende-Cid H. Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews. International Journal of Medical Informatics 2024;189:105531 View
  7. Luo X, Chen F, Zhu D, Wang L, Wang Z, Liu H, Lyu M, Wang Y, Wang Q, Chen Y. Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses. Journal of Medical Internet Research 2024;26:e56780 View
  8. Menold H, Wieland V, Haney C, Uysal D, Wessels F, Cacciamani G, Michel M, Seide S, Kowalewski K. Machine learning enables automated screening for systematic reviews and meta-analysis in urology. World Journal of Urology 2024;42(1) View
  9. Akinseloyin O, Jiang X, Palade V. A question-answering framework for automated abstract screening using large language models. Journal of the American Medical Informatics Association 2024;31(9):1939 View
  10. Guo E, Ramchandani R, Park Y, Gupta M. OSCEai: personalized interactive learning for undergraduate medical education. Canadian Medical Education Journal 2024 View
  11. Park K, Choi H. How to Harness the Power of GPT for Scientific Research: A Comprehensive Review of Methodologies, Applications, and Ethical Considerations. Nuclear Medicine and Molecular Imaging 2024 View
  12. Matsui K, Utsumi T, Aoki Y, Maruki T, Takeshima M, Takaesu Y. 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. Journal of Medical Internet Research 2024;26:e52758 View
  13. Li Y, Luan Z, Liu Y, Liu H, Qi J, Han D. Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation. Frontiers in Artificial Intelligence 2024;7 View
  14. Klang E, Alper L, Sorin V, Barash Y, Nadkarni G, Zimlichman E. Advancing radiology practice and research: harnessing the potential of large language models amidst imperfections. BJR|Open 2023;6(1) View
  15. Arfaie S, Sadegh Mashayekhi M, Mofatteh M, Ma C, Ruan R, MacLean M, Far R, Saini J, Harmsen I, Duda T, Gomez A, Rebchuk A, Pingbei Wang A, Rasiah N, Guo E, Fazlollahi A, Rose Swan E, Amin P, Mohammed S, Atkinson J, Del Maestro R, Girgis F, Kumar A, Das S. ChatGPT and neurosurgical education: A crossroads of innovation and opportunity. Journal of Clinical Neuroscience 2024;129:110815 View
  16. Reason T, Langham J, Gimblett A. Automated Mass Extraction of Over 680,000 PICOs from Clinical Study Abstracts Using Generative AI: A Proof-of-Concept Study. Pharmaceutical Medicine 2024;38(5):365 View