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

Artificial Intelligence (AI) in Medical Education (248) Undergraduate Education for Future Healthcare Professionals (68) Student/Learners Perceptions and Experiences with Educational Technology (143) mHealth in Medical Education and Training (140) Health Informatics Education and Training (99)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73798, first published .
Perception of Medical Undergraduates on Artificial Intelligence in Medical Education: Qualitative Exploration

Perception of Medical Undergraduates on Artificial Intelligence in Medical Education: Qualitative Exploration

Perception of Medical Undergraduates on Artificial Intelligence in Medical Education: Qualitative Exploration

Authors of this article:

Thilanka Seneviratne1 Author Orcid Image ;   Kaumudee Kodikara2 Author Orcid Image ;   Isuru Abeykoon1 Author Orcid Image ;   Wathsala Palpola1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

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  2. Hack S, Crew L, Farzad A, Elazar D, Ladzekpo B, Alshamery S, Silverstein S, Alon E, Attal R, Glikson E. Students Are Ready for AI—But Is Medical Education?. The Clinical Teacher 2026;23(1) View
  3. Simoni J, Mengual E, Aschenbrenner-Noriega I, Monforte-Martínez C, Pérez-Merino M, Sawczyn G, Zurita R, Pereira J. AI Use or Non-use by First-Year Medical Students: A Qualitative Study of Perspectives, Usage, and Recommendations. MedEdPublish 2026;15:226 View
  4. Ghahrai N, Coffey S, Bailey V, Paidisetty P, DeVito R, Campbell C. Would AI Take a Research Year? Pilot Study Evaluating the Reliability of ChatGPT in Advising Plastic Surgery Applicants on Research Years. Plastic Surgery 2026 View
  5. Zheng C, Zhang H. Ethical issues in medical AI education: challenges and prospects. International Journal of Ethics Education 2026 View
  6. Zhu J, Guan C, Zhang H, Wang L, Zhang Y, Bian X. Examining the association between AI-enhanced education and medical students’ self-directed learning using an integrated TAM-UTAUT2 model. Frontiers in Medicine 2026;13 View