Enhancing Medical Interview Skills Through AI-Simulated Patient Interactions: Nonrandomized Controlled Trial.

Journal: JMIR medical education
PMID:

Abstract

BACKGROUND: Medical interviewing is a critical skill in clinical practice, yet opportunities for practical training are limited in Japanese medical schools, necessitating urgent measures. Given advancements in artificial intelligence (AI) technology, its application in the medical field is expanding. However, reports on its application in medical interviews in medical education are scarce.

Authors

  • Akira Yamamoto
    From the Department of Diagnostic and Interventional Radiology (D.U., A.Y., T.S., S.D., A.S., Y.M.) and Department of Premier Preventive Medicine (S.F.), Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; LPixel, Tokyo, Japan (M.N., A.C., Y.S.); and Department of Radiology, Osaka City University Hospital, Osaka, Japan (Y.K.).
  • Masahide Koda
    Co-learning Community Healthcare Re-innovation Office, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan, Okayama, Japan.
  • Hiroko Ogawa
    Department of Primary Care and Medical Education, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama, Japan, Okayama, Japan.
  • Tomoko Miyoshi
    Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan, Okayama, Japan.
  • Yoshinobu Maeda
    Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan, Okayama, Japan.
  • Fumio Otsuka
    Department of General Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama, Japan.
  • Hideo Ino
    Center for Education in Medicine and Health Sciences, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan, Okayama, Japan.