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

Participants recognized several benefits of AI-assisted learning but also expressed concerns and limitations requiring further studies for effective integration of AI into medical education. They expressed openness and enthusiasm for using AI while demonstrating confusion and reluctance due to the perspectives and stance of educators. We recommend educating both the educators and learners on the ethical use of AI, enabling a formal integration of AI tools into medical curricula.

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Publication Details

Journal
JMIR Medical Education
Published
2025-09-19
DOI
https://doi.org/10.2196/73798
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
Controls
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article

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

Isuru Abeykoon, Kaumudee Kodikara, Thilanka Seneviratne, Wathsala Palpola
3 citations
JMIR Medical Education
Artificial Intelligence in Healthcare and Education
1.96
article

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

Isuru Abeykoon, Kaumudee Kodikara, Thilanka Seneviratne, Wathsala Palpola
article en
3 citations

Abstract

Participants recognized several benefits of AI-assisted learning but also expressed concerns and limitations requiring further studies for effective integration of AI into medical education. They expressed openness and enthusiasm for using AI while demonstrating confusion and reluctance due to the perspectives and stance of educators. We recommend educating both the educators and learners on the ethical use of AI, enabling a formal integration of AI tools into medical curricula.

JMIR Medical EducationVol. 11
University of Peradeniya (LK), University of Kelaniya (LK)
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
1.96
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Perception of Medical Undergraduates on Artificial Intelligence in Medical Education: Qualitative Exploration — Isuru Abeykoon, Kaumudee Kodikara, et al. · JMIR Medical Education (2025) | TGRS Research Map | TGRS