Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review.

Journal: Journal of the American College of Radiology : JACR
Published Date: Jan 20, 2022

Abstract

PURPOSE: The aim of this study was to describe the current state of science regarding independent external validation of artificial intelligence (AI) technologies for screening mammography.

Authors

  • Anna W Anderson
    Department of Radiology, University of Washington School of Medicine, Seattle, Washington.
  • M Luke Marinovich
    The Daffodil Centre, The University of Sydney, A Joint Venture With Cancer Council New South Wales, Sydney, New South Wales, Australia.
  • Nehmat Houssami
    Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
  • Kathryn P Lowry
    Department of Radiology, University of Washington School of Medicine, Seattle, Washington.
  • Joann G Elmore
    Department of Medicine, University of Washington School of Medicine, Seattle.
  • Diana S M Buist
    Group Health Research Institute, Seattle, WA, USA.
  • Solveig Hofvind
    Section for Breast Cancer Screening, Cancer Registry of Norway, Oslo, Norway.
  • Christoph I Lee
    Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.

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