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 Sauer, Katelyn Edelwina Yap Legaspi, Bhav Jain, Jack Gallifant, Michael McClurkin, Alessandro Hammond, Deirdre Goode, Judy Wawira Gichoya, Leo Anthony Celi
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.
Topics & Concepts
EnthusiasmNarrativeHealth careNarrative reviewMedical educationTraining (meteorology)PsychologyMedicinePolitical scienceMeteorologyLawSocial psychologyPhilosophyLinguisticsPsychotherapistPhysicsArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingMachine Learning in Healthcare