Generative AI in medical education: feasibility and educational value of LLM-generated clinical cases with MCQs

Abstract Objective To evaluate the feasibility and educational value of employing large language models (LLMs) to generate clinical case scenario with multiple-choice questions (MCQs) for undergraduate medical education. Methods Twelve ophthalmology clinical case scenarios with MCQs generated by Cha...

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Principais autores:	Qi Zhang, Zijing Huang, Yuqiang Huang, Geng Wang, Riping Zhang, Jianling Yang, Yinglin Cheng, Binyao Chen, Hongxi Wang, Kunliang Qiu, Haoyu Chen
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2025-10-01
Serija:	BMC Medical Education
Teme:	Large language models Undergraduate medical education Clinical case scenarios Multiple-choice questions
Online dostop:	https://doi.org/10.1186/s12909-025-08085-8
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