This paper is in the following e-collection/theme issue:

e-Learning and Digital Medical Education (902) Generative Language Models Including ChatGPT (708) Artificial Intelligence (2129) New Resources for Medical Education (115) mHealth in Medical Education and Training (121) Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) Ophthalmology (67) Immunology, Allergy, Rheumatology (140)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67883, first published .
Evaluating the Effectiveness of Large Language Models in Providing Patient Education for Chinese Patients With Ocular Myasthenia Gravis: Mixed Methods Study

Evaluating the Effectiveness of Large Language Models in Providing Patient Education for Chinese Patients With Ocular Myasthenia Gravis: Mixed Methods Study

Evaluating the Effectiveness of Large Language Models in Providing Patient Education for Chinese Patients With Ocular Myasthenia Gravis: Mixed Methods Study

Authors of this article:

Bin Wei1 Author Orcid Image ;   Lili Yao1 Author Orcid Image ;   Xin Hu1 Author Orcid Image ;   Yuxiang Hu1 Author Orcid Image ;   Jie Rao1 Author Orcid Image ;   Yu Ji1 Author Orcid Image ;   Zhuoer Dong1 Author Orcid Image ;   Yichong Duan1 Author Orcid Image ;   Xiaorong Wu1 Author Orcid Image
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Journals

  1. Yan Y, Edwards B, Sanmugam M. Scientometric analysis of emerging trends and research landscape of ERNIE Bot's potentials as an educational tool: A mixed method study of a large language model. Social Sciences & Humanities Open 2025;12:101729 View

Conference Proceedings

  1. Chen Y, Liu Q. Proceedings of the 2025 International Conference on Artificial Intelligence and Educational Systems. Research on Key Technologies of Artificial Intelligence-Based Multi-Sensor Data Fusion Laboratory Safety Early Warning System View