Artificial Intelligence Has Its Foot on the Gas Pedal-What It Means for Imaging.

Abstract

Authors

• Tessa S Cook
  Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (J.M.S., T.P., J.A., C.E.K., T.S.C.); and Boston University School of Medicine, Boston, Mass (J.M.S.).
• Ameena Elahi
  From RAD-AID International, 8004 Ellingson Dr, Chevy Chase, MD 20815 (D.J.M., M.P.C., E.P., G.B., J.R.S., V.L.M., A.E., A.S., F.D.); Department of Radiology and Medical Imaging, Denver Health and Hospital Authority, Denver, Colo (E.P.); Departments of Radiology and Global Health, University of Washington, Seattle, Wash (J.R.S.); Fred Hutchinson Cancer Research Center, Seattle, Wash (J.R.S.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (V.L.M.); Department of Radiology, University of Pennsylvania Health System, Philadelphia, Pa (A.E.); and Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Md (F.D.).

Keywords

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