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

**Authors:** Hiroshi Tajima, Hajime Kasai, Kiyoshi Shikino, Ikuo Shimizu, Shoichi Ito

PMC · DOI: 10.2196/77552 · JMIR Medical Education · 2025-11-13

## TL;DR

A survey of Japanese medical students found high use of generative AI but limited formal training, highlighting a need for structured education.

## Contribution

The study reveals the gap between generative AI usage and formal learning among first-year medical students in Japan.

## Key findings

- 84.7% of students used generative AI, but only 49.2% had formal learning.
- Students showed strong interest in learning about generative AI.
- Use of AI for assignments was neutral, suggesting cautious adoption.

## Abstract

An April 2025 survey of 118 first-year Japanese medical students found high use of generative artificial intelligence (84.7%) but limited formal learning (49.2%), with strong learning interest yet neutral assignment use, indicating a need for structured literacy in generative artificial intelligence.

## Full-text entities

- **Diseases:** GenAI (MESH:C538142)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12614389/full.md

## References

10 references — full list in the complete paper: https://tomesphere.com/paper/PMC12614389/full.md

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Source: https://tomesphere.com/paper/PMC12614389