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

AI Language Models in Health Care (221) Decision Support for Health Professionals (1583) Machine Learning (2153) Applications of AI (308) Generative Language Models Including ChatGPT (753)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68409, first published .
Clinical Performance and Communication Skills of ChatGPT Versus Physicians in Emergency Medicine: Simulated Patient Study

Clinical Performance and Communication Skills of ChatGPT Versus Physicians in Emergency Medicine: Simulated Patient Study

Clinical Performance and Communication Skills of ChatGPT Versus Physicians in Emergency Medicine: Simulated Patient Study

Authors of this article:

ChulHyoung Park1, 2, 3 Author Orcid Image ;   Min Ho An1, 2, 3 Author Orcid Image ;   Gyubeom Hwang1, 2, 3 Author Orcid Image ;   Rae Woong Park1, 2, 3, 4 Author Orcid Image ;   Juho An5 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics Author Video

Journals

  1. Acar A. Data Contamination in AI Evaluation. JMIR Medical Informatics 2025;13:e80987 View
  2. Park C, An M, Hwang G, Park R, An J. Author’s Reply: "Data Contamination in AI Evaluation". JMIR Medical Informatics 2025;13:e82057 View
  3. Grant J. Undergraduates perceive differences in helpfulness and thoroughness of responses of ChatGPT 3.0, Gemini 1.5, and copilot responses about drug interactions. Discover Artificial Intelligence 2025;5(1) View
  4. Ouyang H, Lin G, Li Y, Yao Z, Li Y, Yan H, Qin F, Yao J, Chen Y. Evaluating and Validating Large Language Models for Health Education on Developmental Dysplasia of the Hip: 2-Phase Study With Expert Ratings and a Pilot Randomized Controlled Trial. Journal of Medical Internet Research 2026;28:e73326 View