AI for reading screening mammograms: the need for circumspection.

Journal: European radiology
Published Date:

Abstract

• The studies on AI reading of screening mammograms have methodological limitations that undermine the conclusion that AI could do better than radiologists. • These studies do not informon numbers of extra breast cancers found by AI that could represent overdiagnosis. • The ability of AI to detect breast cancers is overestimated because there are no result on biopsy procedures that should be performed when mammograms are positive at AI reading but not at radiology reading.

Authors

  • Philippe Autier
    University of Strathclyde Institute of Global Public Health, iPRI International Prevention Research Institute, Le Campus, Bâtiment L'Australien, 18 Chemin des Cuers, 69570, Dardilly, France. Philippe.autier@i-pri.org.
  • Jean-Benoît Burrion
    Prevention and Screening Clinic, Jules Bordet Institute, Brussels, Belgium.
  • André-Robert Grivegnée
    Breast Radiology Unit, Jules Bordet Institute, Brussels, Belgium.