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

Letters to the Editor (23) Chatbots and Conversational Agents (767) Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) Artificial Intelligence (2252) e-Learning and Digital Medical Education (932) Testing and Assessment in Medical Education (105) Continuing Medical Education (CME) for Doctors (154) Artificial Intelligence (AI) in Medical Education (209) Natural Language Processing (937) Generative Language Models Including ChatGPT (760)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50336, first published .
Authors’ Reply to: Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations

Authors’ Reply to: Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations

Authors’ Reply to: Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations

Authors of this article:

Aidan Gilson1, 2 Author Orcid Image ;   Conrad W Safranek1 Author Orcid Image ;   Thomas Huang2 Author Orcid Image ;   Vimig Socrates1, 3 Author Orcid Image ;   Ling Chi1 Author Orcid Image ;   Richard Andrew Taylor1, 2 Author Orcid Image ;   David Chartash1, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Younis H, Eisa T, Nasser M, Sahib T, Noor A, Alyasiri O, Salisu S, Hayder I, Younis H. A Systematic Review and Meta-Analysis of Artificial Intelligence Tools in Medicine and Healthcare: Applications, Considerations, Limitations, Motivation and Challenges. Diagnostics 2024;14(1):109 View
  2. Li X, Hu X, Xu H, Sun Z, Yu P, Ju H, Zhang Z. Performance of DeepSeek and ChatGPT on the Chinese Health Professional and Technical Examination: A comparative study. PLOS One 2026;21(1):e0338328 View