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

Large language models (LLMs) such as ChatGPT have become widely applied in the field of medical research. In the process of conducting systematic reviews, similar tools can be used to expedite various steps, including defining clinical questions, performing the literature search, document screening,...

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Published inJournal of medical Internet research Vol. 26; no. 11; p. e56780
Main Authors Luo, Xufei, Chen, Fengxian, Zhu, Di, Wang, Ling, Wang, Zijun, Liu, Hui, Lyu, Meng, Wang, Ye, Wang, Qi, Chen, Yaolong
Format Journal Article
LanguageEnglish
Published Canada Journal of Medical Internet Research 25.06.2024
JMIR Publications
Subjects
Analysis
Computational linguistics
Language processing
Medical research
Medicine, Experimental
Natural language interfaces
Viewpoint
Web applications
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Summary:Large language models (LLMs) such as ChatGPT have become widely applied in the field of medical research. In the process of conducting systematic reviews, similar tools can be used to expedite various steps, including defining clinical questions, performing the literature search, document screening, information extraction, and language refinement, thereby conserving resources and enhancing efficiency. However, when using LLMs, attention should be paid to transparent reporting, distinguishing between genuine and false content, and avoiding academic misconduct. In this viewpoint, we highlight the potential roles of LLMs in the creation of systematic reviews and meta-analyses, elucidating their advantages, limitations, and future research directions, aiming to provide insights and guidance for authors planning systematic reviews and meta-analyses.
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ISSN:1438-8871
1439-4456
1438-8871
DOI:10.2196/56780