From 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.).
Radiol Artif Intell. 2024 Jul;6(4):e240300. doi: 10.1148/ryai.240300.
To address the rapid evolution of artificial intelligence in medical imaging, the authors present the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) 2024 Update.
为了解决医学影像人工智能的快速发展,作者提出了医学影像人工智能清单(CLAIM)2024 更新版。