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

Research Letter (7) Artificial Intelligence (AI) in Medical Education (120) Generative Language Models Including ChatGPT (468) Chatbots and Conversational Agents (617) New Methods and Approaches in Medical Education (301) Testing and Assessment in Medical Education (69)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63129, first published .
Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions

Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions

Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions

Authors of this article:

Yuki Miyazaki1 Author Orcid Image ;   Masahiro Hata1 Author Orcid Image ;   Hisaki Omori1, 2 Author Orcid Image ;   Atsuya Hirashima1, 3 Author Orcid Image ;   Yuta Nakagawa1, 4 Author Orcid Image ;   Mitsuhiro Eto1, 4 Author Orcid Image ;   Shun Takahashi1, 5, 6, 7 Author Orcid Image ;   Manabu Ikeda1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Law A, So J, Lui C, Choi Y, Cheung K, Kei-ching Hung K, Graham C. AI versus human-generated multiple-choice questions for medical education: a cohort study in a high-stakes examination. BMC Medical Education 2025;25(1) View