論文 ·日本語 ·未確認
Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions
Yuki Miyazaki ・ Masahiro Hata ・ Hisaki Omori ・ Atsuya Hirashima ・ Yuta Nakagawa ・ Mitsuhiro Eto ・ Shun Takahashi ・ Manabu Ikeda
- 刊行年
- 2024-11-23
- 収録
- 『JMIR Medical Education』 10 pp. e63129-e63129
- 出版
- JMIR Publications
- 言語
- 英語
- OpenAlex
- W4404654936
- DOI
- 10.2196/63129
- PubMed
- 39718557
- ISSN
- 2369-3762
- URL
- https://mededu.jmir.org/2024/1/e63129/PDF
要旨
Unlabelled: 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.
主題
この書誌の出所
- openalex— W4404654936（2026-08-14取得）
引用
Yuki Miyazaki・Masahiro Hata・Hisaki Omori・Atsuya Hirashima・Yuta Nakagawa・Mitsuhiro Eto・Shun Takahashi・Manabu Ikeda（2024-11-23） Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions 『JMIR Medical Education』 10 pp. e63129-e63129 JMIR Publications