A large language model digital patient system enhances ophthalmology history taking skills

Abstract Clinical trainees face limited opportunities to practice medical history-taking skills due to scarce case diversity and access to real patients. To address this, we developed a large language model-based digital patient (LLMDP) system that transforms de‑identified electronic health records...

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Autori principali:	Ming-Jie Luo, Shaowei Bi, Jianyu Pang, Lixue Liu, Ching-Kit Tsui, Yunxi Lai, Wenben Chen, Yahan Yang, Kezheng Xu, Lanqin Zhao, Ling Jin, Duoru Lin, Xiaohang Wu, Jingjing Chen, Rongxin Chen, Zhenzhen Liu, Yuxian Zou, Yangfan Yang, Yiqing Li, Haotian Lin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-08-01
Serie:	npj Digital Medicine
Accesso online:	https://doi.org/10.1038/s41746-025-01841-6
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