BMC Medical Education (Oct 2024)

Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review

  • Liam G. McCoy,
  • Faye Yu Ci Ng,
  • Christopher M. Sauer,
  • Katelyn Edelwina Yap Legaspi,
  • Bhav Jain,
  • Jack Gallifant,
  • Michael McClurkin,
  • Alessandro Hammond,
  • Deirdre Goode,
  • Judy Gichoya,
  • Leo Anthony Celi

DOI
https://doi.org/10.1186/s12909-024-06048-z
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 8

Abstract

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Abstract Reports of Large Language Models (LLMs) passing board examinations have spurred medical enthusiasm for their clinical integration. Through a narrative review, we reflect upon the skill shifts necessary for clinicians to succeed in an LLM-enabled world, achieving benefits while minimizing risks. We suggest how medical education must evolve to prepare clinicians capable of navigating human-AI systems.

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