Use of Artificial Intelligence for Digital Breast Tomosynthesis Screening: A Preliminary Real-world Experience.

Journal: Journal of breast imaging
Published Date: May 22, 2023

Abstract

OBJECTIVE: The purpose of this study is to assess the "real-world" impact of an artificial intelligence (AI) tool designed to detect breast cancer in digital breast tomosynthesis (DBT) screening exams following 12 months of utilization in a subspecialized academic breast center.

Authors

  • Haley Letter
    Mayo Clinic, Department of Radiology, Jacksonville, FL, USA.
  • Meridith Peratikos
    Biostatistics Consulting LLC, Kensington, MD, USA.
  • Alicia Toledano
    Biostatistics Consulting LLC, Kensington, MD, USA.
  • Jeffrey Hoffmeister
    iCAD, Inc, Nashua, NH, USA.
  • Robert Nishikawa
    University of Pittsburgh, Department of Radiology, Pittsburgh, PA, USA.
  • Emily Conant
    University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA.
  • Julie Shisler
    iCAD, Inc, Nashua, NH, USA.
  • Santo Maimone
    Mayo Clinic, Department of Radiology, Jacksonville, FL, USA.
  • Hector Diaz de Villegas
    University of Florida, Department of Radiology, Jacksonville, FL, USA.

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