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

Viewpoint (41) Viewpoint and Opinions on Innovation in Medical Education (70) Generative Language Models Including ChatGPT (557) AI Language Models in Health Care (125) Artificial Intelligence (AI) in Medical Education (131) Applications of AI (192) Viewpoints and Perspectives in AI (10) New Methods and Approaches in Medical Education (323)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51319, first published .
Assessing the Current Limitations of Large Language Models in Advancing Health Care Education

Assessing the Current Limitations of Large Language Models in Advancing Health Care Education

Assessing the Current Limitations of Large Language Models in Advancing Health Care Education

Authors of this article:

JaeYong Kim1 Author Orcid Image ;   Bathri Narayan Vajravelu2 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics Author Video

Journals

  1. Saji J, Balagangatharan A, Bajaj S, Swarnkar V, Unni D, Dileep A. Analysis of Patient Education Guides Generated by ChatGPT and Gemini on Common Anti-diabetic Drugs: A Cross-Sectional Study. Cureus 2025 View
  2. Oh N, Kim J, Park S, An S, Lee E, Do H, Baik J, Gwon S, Rhu J, Choi G, Park S, Cho J, Lee H, Lee B, Jeong E, Lee J, Choi Y, Kwon J, Kim K, Kim S, Chun G. Large Language Model–Assisted Surgical Consent Forms in Non-English Language: Content Analysis and Readability Evaluation. Journal of Medical Internet Research 2025;27:e73222 View
  3. Córdova-Esparza D. AI-Powered Educational Agents: Opportunities, Innovations, and Ethical Challenges. Information 2025;16(6):469 View
  4. Masur L, Driller M, Suppiah H, Matzka M, Sperlich B, Düking P. Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study. JMIR Formative Research 2025;9:e71358 View

Conference Proceedings

  1. Shailya K, Rajpal S, Krishnan G, Ravindran B. Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency. LExT: Towards Evaluating Trustworthiness of Natural Language Explanations View