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Perceptions and Intentions to Use Generative AI Among First-Year Medical Students in Japan: Cross-Sectional Survey

Hiroshi Tajima1, Hajime Kasai1,2, Kiyoshi Shikino3

  • 1Department of Medical Education, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan, 81 43-222-7171 ext 73320, 81 43-311-3614.

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Most Japanese medical students use generative artificial intelligence tools, but formal education on them is limited. This highlights a critical need for structured generative artificial intelligence literacy programs in medical schools.

Keywords:
Japandigital literacygenerative artificial intelligencelearning behaviormedical studentsperceptions

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Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare

Background:

  • Generative artificial intelligence (AI) tools are increasingly accessible.
  • Understanding medical students' adoption and educational needs regarding AI is crucial.

Purpose of the Study:

  • To assess the utilization and formal learning of generative AI among first-year Japanese medical students.
  • To identify student interest and attitudes towards AI in academic assignments.

Main Methods:

  • A survey was conducted in April 2025.
  • 118 first-year Japanese medical students participated in the survey.

Main Results:

  • High adoption rate of generative AI (84.7%) was observed.
  • Formal learning on generative AI was limited (49.2%).
  • Students expressed strong interest in learning but showed neutral engagement with AI for assignments.

Conclusions:

  • A significant gap exists between generative AI usage and formal AI education in medical training.
  • There is a clear need to develop and implement structured generative AI literacy curricula for medical students.
  • Educational strategies should address both student interest and the responsible application of AI in medical education.