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

Virtual Patients (78) Applications of AI (301) Pilot studies (ehealth) (334) Artificial Intelligence (AI) in Medical Education (204) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (195) Generative Language Models Including ChatGPT (747)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77332, first published .
Utility of Generative Artificial Intelligence for Japanese Medical Interview Training: Randomized Crossover Pilot Study

Utility of Generative Artificial Intelligence for Japanese Medical Interview Training: Randomized Crossover Pilot Study

Utility of Generative Artificial Intelligence for Japanese Medical Interview Training: Randomized Crossover Pilot Study

Authors of this article:

Takanobu Hirosawa1 Author Orcid Image ;   Masashi Yokose1 Author Orcid Image ;   Tetsu Sakamoto1 Author Orcid Image ;   Yukinori Harada1 Author Orcid Image ;   Kazuki Tokumasu2 Author Orcid Image ;   Kazuya Mizuta3 Author Orcid Image ;   Taro Shimizu1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Nguyen T, Nguyen T, Nguyen D, Vu A, Dang K, Le N, Ngo D, Nguyen D, Hoang V, Ngo T. What Are the Opportunities and Challenges of Using AI in Medical Education in Vietnam?. JMIR Medical Education 2025;11:e77817 View
  2. Zouakia Z, Logak E, Szymczak A, Jais J, Burgun A, Tsopra R. AI-Driven Objective Structured Clinical Examination Generation in Digital Health Education: Comparative Analysis of Three GPT-4o Configurations. JMIR Medical Education 2026;12:e82116 View

Books/Policy Documents

  1. Hirosawa T. Artificial Intelligence in Medical Diagnostics. View