Artificial Intelligence for Assessment of Digital Mammography Positioning Reveals Persistent Challenges.

Journal: Journal of breast imaging
Published Date: May 30, 2025

Abstract

OBJECTIVE: Mammographic breast cancer detection depends on high-quality positioning, which is traditionally assessed and monitored subjectively. This study used artificial intelligence (AI) to evaluate mammography positioning on digital screening mammograms to identify and quantify unmet mammography positioning quality (MPQ).

Authors

  • Laurie R Margolies
    ISMMS, Department of Diagnostic, Molecular, and Interventional Radiology, New York, 10029, USA.
  • Georgia G Spear
    Endeavor Health North Shore University Health System, Evanston, IL, USA.
  • Jennifer I Payne
    Nova Scotia Breast Screening Program, Nova Scotia Health, Halifax, NS, Canada.
  • Sian E Iles
    Nova Scotia Breast Screening Program, Nova Scotia Health, Halifax, NS, Canada.
  • Mohamed Abdolell
    Department of Radiology, Dalhousie University, Halifax, NS, Canada.

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