AI implementation: Radiologists' perspectives on AI-enabled opportunistic CT screening.

Abstract

Authors

• Adam E M Eltorai
  1Division of Spine Surgery and.
• Dominick J Parris
  American College of Radiology, Reston, VA, United States of America.
• Mary Jo Tarrant
  American College of Radiology, Reston, VA, United States of America.
• William W Mayo-Smith
  From the Department of Radiology, Brigham and Women's Hospital (BWH), Harvard Medical School, 75 Francis St, Boston, MA 02115 (C.R.W., D.I.G., K.P.A., B.D., W.W.M-S.); Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Mass (J.P., C.P.B., J. Kalpathy-Cramer); Health Sciences and Technology Department, Massachusetts Institute of Technology, Cambridge, Mass (J.P.); Department of Radiology, Massachusetts General Hospital (MGH), Harvard Medical School, Boston, Mass (B.C.B., K.D.); and MGH & BWH Center for Clinical Data Science, Boston, Mass (B.C.B., C.P.B., K.P.A., J. K. Chin, K.D., J. Kalpathy-Cramer).
• Katherine P Andriole
  Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (W.F.W., M.T.C., K.M., S.A.G., E.G., M.H.R., G.C.G., K.P.A.); and MGH & BWH Center for Clinical Data Science, Boston, Mass (W.F.W., M.T.C., K.M., K.P.A.).

Keywords

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