August 20, 2025

Educational Strategies for Clinical Supervision of Artificial Intelligence Use

Key Points

Educational strategies enhance clinical supervision of AI, empowering learners to effectively utilize technology.
Clinical supervision focuses on overcoming gaps in AI knowledge between learners and supervisors in medical settings.
Implementation involves adapting educational approaches to incorporate large language models for improved training outcomes.
Enhancing supervision of AI in healthcare poses significant implications for future medical education and practice.

Abstract

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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Discussion

Cite this study

Abdulnour et al. (Wed,) studied this question.

www.synapsesocial.com/papers/68af4cebad7bf08b1ead6e59 — DOI: https://doi.org/10.1056/nejmra2503232

Authors

Raja-Elie E. Abdulnour

Brian C. Gin

Christy Boscardin

Journals

New England Journal of Medicine

Actions

Institutions

Harvard University

University of California, San Francisco

Brigham and Women's Hospital

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Educational Strategies for Clinical Supervision of Artificial Intelligence Use

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion