%0 Journal Article
%@ 2369-3762
%I JMIR Publications
%V 10
%N 
%P e63129
%T Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions
%A Miyazaki,Yuki
%A Hata,Masahiro
%A Omori,Hisaki
%A Hirashima,Atsuya
%A Nakagawa,Yuta
%A Eto,Mitsuhiro
%A Takahashi,Shun
%A Ikeda,Manabu
%K medical education
%K artificial intelligence
%K clinical decision-making
%K GPT-4o
%K medical licensing examination
%K Japan
%K images
%K accuracy
%K AI technology
%K application
%K decision-making
%K image-based
%K reliability
%K ChatGPT
%D 2024
%7 24.12.2024
%9 
%J JMIR Med Educ
%G English
%X This study evaluated the performance of ChatGPT with GPT-4 Omni (GPT-4o) on the 118th Japanese Medical Licensing Examination. The study focused on both text-only and image-based questions. The model demonstrated a high level of accuracy overall, with no significant difference in performance between text-only and image-based questions. Common errors included clinical judgment mistakes and prioritization issues, underscoring the need for further improvement in the integration of artificial intelligence into medical education and practice.
%R 10.2196/63129
%U https://mededu.jmir.org/2024/1/e63129
%U https://doi.org/10.2196/63129