The Impact of an Artificial Intelligence Certificate Program on Radiology Resident Education.

Journal: Academic radiology
Published Date: Jun 21, 2024

Abstract

RATIONALE AND OBJECTIVES: The objective of this study was to evaluate the effectiveness of a pilot artificial intelligence (AI) certificate program in aiding radiology trainees to develop an understanding of the evolving role and application of artificial intelligence in radiology. A secondary objective was set to determine the background of residents that would most benefit from such training.

Authors

  • Mark Finkelstein
    From the Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029.
  • Kristin Ludwig
    Eastern Virginia Medical School (K.L.).
  • Amita Kamath
    Icahn School of Medicine at Mount Sinai, New York, NY (M.F., A.K., K.P.H., D.S.M.).
  • Kathleen P Halton
    Icahn School of Medicine at Mount Sinai, New York, NY (M.F., A.K., K.P.H., D.S.M.).
  • David S Mendelson
    From the Department of Radiology, Stanford University, Stanford, CA 94305 (C.P.L., M.P.L.); Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (J.K.C.); GE Healthcare, Chicago, Ill (K.B.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (T.S.C., J.D.R.); Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (A.E.F.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (D.S.M.); Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY (G.W.); and National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Washington, DC (K.K.).

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