Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Ali S Tejani¹, Michail E Klontzas¹, Anthony A Gatti¹+5

• ¹From the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (A.S.T.); Department of Radiology, University of Crete School of Medicine, Heraklion, Crete, Greece (M.E.K.); Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece (M.E.K.); Department of Radiology, Stanford University, Stanford, Calif (A.A.G.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.M.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (L.M.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.P.); and Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-6243 (C.E.K.).