Educational Utility of Clinical Vignettes Generated in Japanese by ChatGPT-4: Mixed Methods Study.

Journal: JMIR medical education
Published Date: Aug 13, 2024

Abstract

BACKGROUND: Evaluating the accuracy and educational utility of artificial intelligence-generated medical cases, especially those produced by large language models such as ChatGPT-4 (developed by OpenAI), is crucial yet underexplored.

Authors

  • Hiromizu Takahashi
    Department of General Medicine, Faculty of Medicine Juntendo University Tokyo Japan.
  • Kiyoshi Shikino
    Department of General Medicine Chiba University Hospital Chiba Japan.
  • Takeshi Kondo
    Division of Legal Medicine, Department of Community Medicine and Social Healthcare Science, Kobe University Graduate School of Medicine, Kobe, Japan; Medical Examiner's Office of Hyogo Prefecture, Kobe, Japan. Electronic address: kondo@med.kobe-u.ac.jp.
  • Akira Komori
    Department of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
  • Yuji Yamada
    Department of Radiation Oncology, NTT West Osaka hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka, Japan.
  • Mizue Saita
    Department of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
  • Toshio Naito
    Department of General Medicine, Juntendo University Faculty of Medicine, 2-1-1, Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan, 81 3-3813-3111.

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