Evidence on AI and Skill Development

In this episode, Adam sits down with Dr. Raja-Elie Abdulnour to explore how AI is reshaping medical education and why it has the potential to quietly erode clinical reasoning. They discuss the emerging risks of deskilling, never-skilling, and mis-skilling, and how AI can widen gaps between high-performing and low-performing learners. Raja-Elie introduces the DEFT-AI framework, a practical approach for turning AI-assisted moments into teaching opportunities that strengthen, rather than outsource clinical judgment. Their conversation highlights both the promise of AI and the need to help learners use it wisely so we do not lose the core of what it means to be a medical expert.

Length of episode: 41:30

Resources to check out: -

https://www.hbs.edu/ris/Publication%20Files/24-013_d9b45b68-9e74-42d6-a1c6-c72fb70c7282.pdf

https://www.nejm.org/doi/full/10.1056/NEJMra2503232

https://www.ynharari.com/book/nexus/

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