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

Student/Learners Perceptions and Experiences with Educational Technology (268) e-Learning and Digital Medical Education (1583) Evaluation of Medical Education (287) Artificial Intelligence (4761) Artificial Intelligence (AI) in Medical Education (748) Generative Language Models Including ChatGPT (1515)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66381, first published .
Doctor explaining AI in healthcare on a laptop screen with medical icons.

Perceptions and Attitudes of Medical Students Toward the Integration of Large Language Models in Medical Education: Cross-Sectional Survey in China

Perceptions and Attitudes of Medical Students Toward the Integration of Large Language Models in Medical Education: Cross-Sectional Survey in China

Authors of this article:

Cheng Zhao1 Author Orcid Image ;   Weiqian Yan2 Author Orcid Image ;   Long Wang3 Author Orcid Image ;   Jing Wu4 Author Orcid Image ;   Herve Pasteur Ndikuriyo1 Author Orcid Image ;   Renhe Yu5 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Zhu J, Guan C, Zhang H, Wang L, Zhang Y, Bian X. Examining the association between AI-enhanced education and medical students’ self-directed learning using an integrated TAM-UTAUT2 model. Frontiers in Medicine 2026;13 View
  2. Zhang Q, Liu L, Li J, Xing B, Liu Z, Liu J, Li X, Wang J, Wang D, Wang J. The AI adoption paradox in Chinese medical education: a multi-institution cross-sectional study of usage patterns, critical literacy gaps, and adoption profiles among 3,194 undergraduate medical students. BMC Medical Education 2026;26(1) View