Assessing GPT-4o in cataract surgery decision-making: appropriateness, consistency, and clinical implications

PurposeTo evaluate the application of large language models (LLMs) in clinical decision-making for cataract surgery using real-world patient data.MethodsThis retrospective clinical observational study included 74 cataract patients (146 eyes) who underwent phacoemulsification and intraocular lens (IO...

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Auteurs principaux:	Yan Liu, Chaozhong Zhang, Yuanping Yuan, Kalibinur Elken, Jie Lai, Yinuo Wen, Linghao Song, Xinyue Wang, Min Zhang, Zexu Chen, Zijia Zhao, Yi Zhang, Tianhui Chen, Yongxiang Jiang
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2026-05-01
Collection:	Frontiers in Artificial Intelligence
Sujets:	appropriateness cataract cataract surgeon GPT-4o intraocular lens large language models (LLMs)
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/frai.2026.1810899/full
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