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...

詳細記述

書誌詳細

出版年:	BMC Medical Research Methodology
主要な著者:	Xiangming Cai, Yuanming Geng, Yiming Du, Bart Westerman, Duolao Wang, Chiyuan Ma, Juan J. Garcia Vallejo
フォーマット:	論文
言語:	英語
出版事項:	BMC 2025-04-01
主題:	Large language model Meta-analysis ChatGPT Deepseek Phi
オンライン･アクセス:	https://doi.org/10.1186/s12874-025-02569-3