Accuracy of the large language model ChatGPT in adult emergency department triage: a systematic review and meta-analysis

Abstract Aim This study employs a systematic review and meta-analysis to evaluate the accuracy and sensitivity (i.e., correct identification rate of high-risk patients at levels 1–2) of ChatGPT in adult emergency triage and to compare the potential of its different versions. Methods A systematic sea...

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Detalhes bibliográficos

Principais autores:	Shuang Gao, Miao Yu, Yuanyuan Zheng, Mengjie Zhang, Zhennan Yang, Jianxia Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-03-01
coleção:	BMC Emergency Medicine
Assuntos:	ChatGPT Emergency triage Meta-analysis Artificial intelligence Large language models
Acesso em linha:	https://doi.org/10.1186/s12873-026-01521-y
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