Utilizing Large language models to select literature for meta-analysis shows workload reduction while maintaining a similar recall level as manual curation

Utilizing Large language models to select literature for meta-analysis shows workload reduction while maintaining a similar recall level as manual curation

Abstract Background Large language models (LLMs) like ChatGPT showed great potential in aiding medical research. A heavy workload in filtering records is needed during the research process of evidence-based medicine, especially meta-analysis. However, few studies tried to use LLMs to help screen rec...

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Bibliographic Details
Main Authors: Xiangming Cai, Yuanming Geng, Yiming Du, Bart Westerman, Duolao Wang, Chiyuan Ma, Juan J. Garcia Vallejo
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Medical Research Methodology
Subjects:
Large language model
Meta-analysis
ChatGPT
Deepseek
Phi
Online Access:https://doi.org/10.1186/s12874-025-02569-3
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https://doi.org/10.1186/s12874-025-02569-3

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