Evaluating Generative Artificial Intelligence as an Educational Tool for Radiology Resident Report Drafting.

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Bibliographic Details
Title: Evaluating Generative Artificial Intelligence as an Educational Tool for Radiology Resident Report Drafting.
Authors: Verdone A; Department of Radiology, New York University Grossman School of Medicine, New York, New York., Cardall A; New York University Grossman School of Medicine, New York, New York., Siddiqui F; New York University Grossman School of Medicine, New York, New York., Nashawaty M; Department of Radiology, New York University Grossman School of Medicine, New York, New York., Rigau D; Department of Radiology, New York University Grossman School of Medicine, New York, New York., Kwon Y; Department of Radiology, New York University Grossman School of Medicine, New York, New York., Yousef M; Department of Radiology, New York University Grossman School of Medicine, New York, New York., Patel S; Department of Radiology, New York University Grossman School of Medicine, New York, New York., Kieturakis A; Department of Radiology, New York University Grossman School of Medicine, New York, New York., Kim E; Department of Radiology, New York University Grossman School of Medicine, New York, New York., Heacock L; Department of Radiology, New York University Grossman School of Medicine, New York, New York., Reig B; Department of Radiology, New York University Grossman School of Medicine, New York, New York., Shen Y; Department of Radiology, New York University Grossman School of Medicine, New York, New York; New York University, Center for Data Science, New York, New York. Electronic address: Yiqiu.Shen@nyulangone.org.
Source: Journal of the American College of Radiology : JACR [J Am Coll Radiol] 2026 May; Vol. 23 (5), pp. 818-826. Date of Electronic Publication: 2025 Dec 24.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
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.2025.12.024