Integrating Large Language Models Into Radiology Education: An Interpretation-Centric Framework for Enhanced Learning While Supporting Workflow.

Saved in:
Bibliographic Details
Title: Integrating Large Language Models Into Radiology Education: An Interpretation-Centric Framework for Enhanced Learning While Supporting Workflow.
Authors: Lyo SK; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania; Department of Radiology, Baptist Health, Miami, Florida; Member, Society of Imaging Informatics in Medicine Members in Training Committee; American College of Radiology Informatics Advisory Council. Electronic address: shawn.kt.lyo@gmail.com., Cook TS; Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania; Past Chair, Executive Committee for the Society of Imaging Informatics in Medicine; Director, 3-D and Advanced Imaging Laboratory, Center for Practice Transformation in Radiology at the University of Pennsylvania; Fellowship Director, Imaging Informatics at the University of Pennsylvania; Vice Chair, Practice Transformation in Radiology at the University of Pennsylvania. Electronic address: https://twitter.com/asset25.
Source: Journal of the American College of Radiology : JACR [J Am Coll Radiol] 2025 Nov; Vol. 22 (11), pp. 1271-1280. Date of Electronic Publication: 2025 Jul 12.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101190326 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-349X (Electronic) Linking ISSN: 15461440 NLM ISO Abbreviation: J Am Coll Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1558-349X
DOI:10.1016/j.jacr.2025.07.003