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September 10, 2025Open Access

Artificial Intelligence in Medical Education: Current Applications and a Proposed Comprehensive Integration Framework

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Authors

ABAndrew BorkowskiOBOrest BoykoACAnne Champeaux

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Overview

Comprehensive review identifies disparities in AI education in medical training, suggesting a unified integration framework.

Key Points

  • AI integration in medical education varies greatly, with enhanced emphasis needed across all training levels.
  • Postgraduate trainees show greater familiarity with AI compared to undergraduates, highlighting curriculum gaps.
  • The proposed framework includes tiers for universal AI literacy and ethical awareness tailored to training levels.
  • Collaboration among educational institutions and technology experts is crucial for effective AI education integration.

Cite This Study

Borkowski et al. (2025) studied this question.

synapsesocial.com/papers/68c241efb210217d647a18c0https://doi.org/10.20944/preprints202507.0171.v2
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  5. 5Artificial Intelligence in Medical Education: A Narrative Review on Implementation, Evaluation, and Methodological Challenges2025 · 30 citations