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

Research Letter (45) e-Learning and Digital Medical Education (1676) Training Tools for Medical Students (213) Artificial Intelligence (AI) in Medical Education (884) Generative Language Models Including ChatGPT (1667) Ethical, Legal, and Social Issues in AI (222)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77552, first published .
Four young Asian students collaborate on a laptop, analyzing data with a magnifying glass.

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

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

Authors of this article:

Hiroshi Tajima1 Author Orcid Image ;   Hajime Kasai1, 2 Author Orcid Image ;   Kiyoshi Shikino3 Author Orcid Image ;   Ikuo Shimizu1, 2 Author Orcid Image ;   Shoichi Ito1, 2, 3 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

Journals

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  2. Jakob F, Glueer C, Thomasius F. Ein neuer Dreiklang: Von der Eminenz zur Evidenz zur Künstlichen Intelligenz. Osteologie 2026;35(02):121 View
  3. Paris F, Garrouste V, Abensur Vuillaume L. Perceptions, Attitudes, and Use of AI by Medical Students: Mixed Methods Study. JMIR Medical Education 2026;12:e91345 View
  4. Zhang W, Han J, Han X, Xu H, Wang L, Lin T, Tan P, Zhang P, Zheng X. Medical Students’ Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis. JMIR Medical Education 2026;12:e89411 View
  5. Kotzki S, Gauthier K, Minoves M, Vuillerme N. Profiles of Generative AI Use and Perceptions Among Health Professional Students During Clinical Placements: Secondary Analysis of a Cross-Sectional Online Survey (Preprint). JMIR Medical Education 2026 View
  6. Golahi G, Antonio F, Annisa D. Generative AI Factors, Cognitive Engagement, and Patient Safety Learning in Medical Education: Mixed Methods Study. JMIR Medical Education 2026;12:e100828 View
  7. Nam Y, Rárosi F, Fodor G, Peták F, Nagy A, Tolnai J. Artificial Intelligence Use and Perceptions Among Three Medical Student Cohorts: Cross-Sectional Comparative Survey Study. Future Internet 2026;18(10):525 View
  8. Sulca Quispe R, Purilla Janto J, Jáuregui-Figueroa M, Figueroa Bejarano De Jauregui M. Inteligencia artificial y razonamiento clínico en educación médica: una revisión sistemática. Revista Simón Rodríguez 2026;6(13):1 View
  9. WOO H, HAMADA K, WATANABE O, SUYAMA K, NISHINAKAGAWA T. Generative Artificial Intelligence Use in Physical Therapy Learning and Licensure Examination Preparation in Japan: A Multi-institutional Cross-sectional Survey of Student Practices, Perceptions, and Institutional Guidance. Physical Therapy Research 2026 View
  10. Kotzki S, Knepfler S, Di Marco L, Vuillerme N. AI Literacy and Training Needs Among French Midwifery Students: National Cross-Sectional Online Survey and Exploratory Qualitative Follow-Up. JMIR Medical Education 2026;12:e94310 View

Conference Proceedings

  1. Xu S, Xu X. Proceedings of the 2026 International Conference on Artificial Intelligence in Education Technology and Data Science. A Trustworthiness Assurance Framework for Generative Educational Content to Enhance Teaching Effectiveness View