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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	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
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2026-05-01
Schriftenreihe:	Frontiers in Artificial Intelligence
Schlagworte:	appropriateness cataract cataract surgeon GPT-4o intraocular lens large language models (LLMs)
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/frai.2026.1810899/full
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!