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

Viewpoints and Perspectives (532) New Methods (974) Digital Health Reporting Standards, Quality and Transparency in e-Research (79) Ontologies, Classifications, and Coding (246) Digital Health Reviews (1359) Development and Evaluation of Research Methods, Instruments and Tools (539) Chatbots and Conversational Agents (562) Generative Language Models Including ChatGPT (351)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56780, first published .
Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses

Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses

Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses

Authors of this article:

Xufei Luo1, 2, 3, 4, 5 Author Orcid Image ;   Fengxian Chen6 Author Orcid Image ;   Di Zhu7 Author Orcid Image ;   Ling Wang7 Author Orcid Image ;   Zijun Wang1, 2, 3, 4, 5 Author Orcid Image ;   Hui Liu1, 2, 3, 4, 5 Author Orcid Image ;   Meng Lyu7 Author Orcid Image ;   Ye Wang7 Author Orcid Image ;   Qi Wang8, 9 Author Orcid Image ;   Yaolong Chen1, 2, 3, 4, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (6) Metrics

Journals

  1. Siemens W, von Elm E, Binder H, Böhringer D, Eisele-Metzger A, Gartlehner G, Hanegraaf P, Metzendorf M, Mosselman J, Nowak A, Qureshi R, Thomas J, Waffenschmidt S, Labonté V, Meerpohl J. Opportunities, challenges and risks of using artificial intelligence for evidence synthesis. BMJ Evidence-Based Medicine 2025:bmjebm-2024-113320 View