Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54393, first published .
Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study

Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study

Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study

Journals

  1. Koga S, Du W, Ono D. Response to “Can ChatGPT Vision diagnose melanoma? An exploratory diagnostic accuracy study.”. Journal of the American Academy of Dermatology 2024;91(3):e61 View
  2. Liu M, Okuhara T, Chang X, Shirabe R, Nishiie Y, Okada H, Kiuchi T. Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e60807 View
  3. Ishida K, Hanada E. Potential of ChatGPT to Pass the Japanese Medical and Healthcare Professional National Licenses: A Literature Review. Cureus 2024 View
  4. Tong W, Zhang X, Zeng H, Pan J, Gong C, Zhang H. Reforming China’s Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era. JMIR Medical Education 2024;10:e48594 View
  5. Liu C, Ho C, Wu T. Custom GPTs Enhancing Performance and Evidence Compared with GPT-3.5, GPT-4, and GPT-4o? A Study on the Emergency Medicine Specialist Examination. Healthcare 2024;12(17):1726 View
  6. Kipp M. From GPT-3.5 to GPT-4.o: A Leap in AI’s Medical Exam Performance. Information 2024;15(9):543 View
  7. Brin D, Sorin V, Konen E, Nadkarni G, Glicksberg B, Klang E. How GPT models perform on the United States medical licensing examination: a systematic review. Discover Applied Sciences 2024;6(10) View
  8. Okada A. Editorial Comment on Can artificial intelligence pass the Japanese urology board examinations?. International Journal of Urology 2024;31(12):1442 View
  9. Morishita M, Fukuda H, Yamaguchi S, Muraoka K, Nakamura T, Hayashi M, Yoshioka I, Ono K, Awano S. An exploratory assessment of GPT-4o and GPT-4 performance on the Japanese National Dental Examination. The Saudi Dental Journal 2024;36(12):1577 View
  10. Shen B, Zong H, Wu R, Cha J, Wang J, Wu E, Li J, Zhou Y, Zhang C, Feng W. Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis (Preprint). Journal of Medical Internet Research 2024 View