Many learners are more facile with the use of large language models in medicine than their supervisors are. The authors provide an approach to clinical supervision that can mitigate the perils and amplify the promise of AI.
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Abdulnour et al. (Wed,) studied this question.
www.synapsesocial.com/papers/68af4cebad7bf08b1ead6e59 — DOI: https://doi.org/10.1056/nejmra2503232
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Raja-Elie E. Abdulnour
Brian C. Gin
Christy Boscardin
New England Journal of Medicine
Harvard University
University of California, San Francisco
Brigham and Women's Hospital
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