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September 12, 2025AIOpen Access

Artificial Intelligence in Medical Education: A Narrative Review on Implementation, Evaluation, and Methodological Challenges

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Authors

ARAnnalisa RovetaLCLuigi Mario CastelloCMCostanza Massarino

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Overview

Narrative review reveals AI's potential to enhance medical education, suggesting methodological rigor and ethical considerations are essential.

Key Points

  • AI-driven simulations improve decision-making and procedural skills in medical training, and enhance interprofessional communication.
  • Large language models can generate educational content, supporting academic writing and interactive learning processes.
  • Methodological heterogeneity is prevalent in AI research in medical education, with limited controlled studies and focus on short-term effects.
  • Critical ethical risks exist with AI usage in education, including data bias and challenges in low-resource contexts.

Cite This Study

Roveta et al. (2025) studied this question.

synapsesocial.com/papers/68d41bfb713b0b5dfea650f7https://doi.org/10.3390/ai6090227
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Also Consider

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  1. 1Artificial Intelligence in Medical Education: A Narrative Review2025
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  4. 4Artificial intelligence in medical education: Potential and pitfalls.2025
  5. 5Technologies, opportunities, challenges, and future directions for integrating generative artificial intelligence into medical education: a narrative review2025