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

Virtual Patients (77) Applications of AI (287) Pilot studies (ehealth) (325) Artificial Intelligence (AI) in Medical Education (182) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (186) Generative Language Models Including ChatGPT (708)

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 (2) Tweetations Metrics

Takanobu Hirosawa   1 , MD, PhD ;   Masashi Yokose   1 , MD, PhD ;   Tetsu Sakamoto   1 , MD ;   Yukinori Harada   1 , MD, PhD ;   Kazuki Tokumasu   2 , MD, PhD ;   Kazuya Mizuta   3 , MD ;   Taro Shimizu   1 , MD, MSc, MPH, MBA, PhD

1 Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Shimotsuga, Japan

2 Department of General Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan

3 Department of Intensive Care Medicine, Kameda Medical Center, Chiba, Japan

Corresponding Author:

  • Takanobu Hirosawa, MD, PhD
  • Department of Diagnostic and Generalist Medicine
  • Dokkyo Medical University
  • 880 Kitakobayashi, Mibu-cho
  • Shimotsuga 321-0293
  • Japan
  • Phone: 81 282861111
  • Email: t.hirosawa1983@gmail.com