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Gowda, Vrushab

A5103972898 | I136199984

Mayo Clinic

Harvard University

Citations 1

Generative AI and Foundation Models in Radiology: Applications, Opportunities, and Potential Challenges

Radiology | November 18, 2025 | Volume: 317 | Issue: 2 | Pages: No page available

10.1148/radiol.242961 | PMID 41251552

Foundation models can streamline imaging workflows, improve diagnostic accuracy, enable personalized treatment, and, via integrated generative artificial intelligence, create synthetic images to augment scarce real-world data; however, successful adoption requires explainability, trust, and workflow integration.