Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology.

Journal: Radiology
Published Date: Jan 1, 2024

Abstract

Despite recent advancements in machine learning (ML) applications in health care, there have been few benefits and improvements to clinical medicine in the hospital setting. To facilitate clinical adaptation of methods in ML, this review proposes a standardized framework for the step-by-step implementation of artificial intelligence into the clinical practice of radiology that focuses on three key components: problem identification, stakeholder alignment, and pipeline integration. A review of the recent literature and empirical evidence in radiologic imaging applications justifies this approach and offers a discussion on structuring implementation efforts to help other hospital practices leverage ML to improve patient care. Clinical trial registration no. 04242667 © RSNA, 2024

Authors

  • Allison Chae
    Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA.
  • Michael S Yao
    Department of Bioengineering, University of Pennsylvania, Philadelphia 19104, USA.
  • Hersh Sagreiya
    Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA.
  • Ari D Goldberg
    From the Departments of Bioengineering (M.S.Y.), Radiology (H.S., N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K., W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104; Department of Radiology, Loyola University Medical Center, Maywood, Ill (A.D.G.); Department of Information Services, University of Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pa (A.B.).
  • Neil Chatterjee
    From the Departments of Bioengineering (M.S.Y.), Radiology (H.S., N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K., W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104; Department of Radiology, Loyola University Medical Center, Maywood, Ill (A.D.G.); Department of Information Services, University of Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pa (A.B.).
  • Matthew T MacLean
    Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Jeffrey Duda
    Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • 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.).
  • Arijitt Borthakur
    Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Marylyn D Ritchie
    From the Departments of Bioengineering (M.S.Y.), Radiology (H.S., N.C., M.T.M., J.D., A.B., C.E.K., W.R.W., J.C.G.), Genetics (M.D.R.), and Medicine (D.R.), Perelman School of Medicine (A.C., M.S.Y., H.S., A.B., C.E.K., W.R.W., J.C.G.), University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104; Department of Radiology, Loyola University Medical Center, Maywood, Ill (A.D.G.); Department of Information Services, University of Pennsylvania, Philadelphia, Pa (A.E.); and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pa (A.B.).
  • Daniel Rader
    Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Charles E Kahn
    Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA.
  • Walter R Witschey
    Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA.
  • James C Gee
    Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.

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