Diagnostic capabilities of artificial intelligence as an additional reader in a breast cancer screening program.

Journal: European radiology
Published Date: Feb 22, 2024

Abstract

OBJECTIVES: We aimed to evaluate the early-detection capabilities of AI in a screening program over its duration, with a specific focus on the detection of interval cancers, the early detection of cancers with the assistance of AI from prior visits, and its impact on workload for various reading scenarios.

Authors

  • Mustafa Ege Seker
    University of Wisconsin-Madison, School of Medicine, Department of Radiology, Madison, USA.
  • Yilmaz Onat Koyluoglu
    162328Acibadem M.A.A University School of Medicine, Istanbul, Turkey.
  • Ayse Nilufer Ozaydin
    52982Marmara University, School of Medicine, Istanbul, Turkey.
  • Sibel Ozkan Gurdal
    Namik Kemal University, School of Medicine, Tekirdag, Turkey.
  • Beyza Ozcinar
    64041Istanbul University, School of Medicine, Istanbul, Turkey.
  • Neslihan Cabioğlu
    64041Istanbul University, School of Medicine, Istanbul, Turkey.
  • Vahit Ozmen
    64041Istanbul University, School of Medicine, Istanbul, Turkey.
  • Erkin Aribal
    162328Acibadem M.A.A University School of Medicine, Istanbul, Turkey.

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