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AI in radiology could boost or replace parts of reading X rays
AI may improve accuracy and speed for radiology tasks but still requires a human in the loop. Experts note limited real world testing and transparency as hurdles while regulators have cleared some tools for guidance roles. A Swedish study found AI-assisted radiologists detect more cancers and reduce workload, yet final diagnoses and liability remain with physicians.
MENTIONED IN THIS ARTICLE
Washington
Ronald Summers
National Institutes of Health
Summers
Medicine
FDA
Curtis Langlotz
Stanford University
Oxipit
U.S
Europe
Chad McClennan
Koios Medical
McClennan
National Cancer Institute
Department of Labor
Laurie Margolies
Mount Sinai Health Network
New York
Margolies
Sweden
Kristina Lang
Lund University
Saurabh Jha
University of Pennsylvania
Jha