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The Emergence of Foundation Models in U.S. Radiology: A Narrative Review of Clinical Utility, Safety, and Evaluation.

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第一作者： Pranay Chetan,Uppuluri

第一单位： Department of Radiology, Radiserv AG, Baden, Switzerland (P.C.U.). Electronic address: pcu@radiserv.ch.

作者： Pranay Chetan,Uppuluri ^[1] ; Carina W,Yang ^[2]

作者单位： Department of Radiology, Radiserv AG, Baden, Switzerland (P.C.U.). Electronic address: pcu@radiserv.ch. ^[1] University of Chicago Medicine, Chicago, IIllinois (C.W.Y.). ^[2]

关键词 Bias and Health Equity Clinical Validation Diagnostic Imaging AI FDA Regulation Federated Learning Foundation models Human-in-the-Loop AI Multimodal Learning Radiology Artificial Intelligence Vision-Language Models

医学主题词美国(United States);人类(Humans);放射学(Radiology);人工智能(Artificial Intelligence);放射学信息系统(Radiology Information Systems)

DOI 10.1016/j.acra.2025.10.063

PMID 41266222

发布时间 2026-03-06

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Academic radiology

2026年33卷3期

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Academic radiology

2026年33卷3期

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The Emergence of Foundation Models in U.S. Radiology: A Narrative Review of Clinical Utility, Safety, and Evaluation.

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The Emergence of Foundation Models in U.S. Radiology: A Narrative Review of Clinical Utility, Safety, and Evaluation.

Academic radiology

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Academic radiology

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