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October 5, 2025

Artificial intelligence in medical education: Potential and pitfalls.

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Authors

LWLyndon Walker

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Overview

Observational analysis explores AI's impact on medical education, indicating potential innovation and risks.

Key Points

  • AI enhances medical education by improving personalised learning and tailored assessments, leading to better student outcomes.
  • Key evidence shows AI can significantly improve educational content delivery, fostering a more engaging learning experience.
  • Assessment using AI in medical education highlights its advantages in simulations and efficient learning methods.
  • Addressing ethical concerns and data privacy is crucial for balanced AI integration in healthcare education.

Cite This Study

Lyndon Walker (2025) studied this question.

synapsesocial.com/papers/68e2537cd6d66a53c24745aehttps://doi.org/10.31128/ajgp-02-25-7559
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Also Consider

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  1. 1Advancements in artificial intelligence transforming medical education: a comprehensive overview2025 · 75 citations
  2. 2Artificial Intelligence in Medical Education: A Narrative Review on Implementation, Evaluation, and Methodological Challenges2025 · 30 citations
  3. 3Artificial Intelligence in Medical Education: A Narrative Review2025
  4. 4[Medical education and artificial intelligence: perspectives and ethical challenges].2025 · 2 citations
  5. 5Medical education in the age of artificial intelligence2025