Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload.

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

Abstract

OBJECTIVE: To evaluate the effectiveness of a new strategy for using artificial intelligence (AI) as supporting reader for the detection of breast cancer in mammography-based double reading screening practice.

Authors

  • Annie Y Ng
    Kheiron Medical Technologies, London, UK.
  • Ben Glocker
    Kheiron Medical Technologies, London, UK.
  • Cary Oberije
    Kheiron Medical Technologies, London, UK.
  • Georgia Fox
    Kheiron Medical Technologies, London, UK.
  • Nisha Sharma
    Leeds Teaching Hospital NHS Trust, Department of Radiology, Leeds, UK.
  • Jonathan J James
    Nottingham University Hospitals NHS Trust, Nottingham Breast Institute, Nottingham, UK.
  • Éva Ambrózay
    MaMMa Egészségügyi Zrt., Breast Diagnostic Department, Kecskemét, Hungary.
  • Jonathan Nash
    Kheiron Medical Technologies, London, UK.
  • Edith Karpati
    Kheiron Medical Technologies, London, UK.
  • Sarah Kerruish
    Kheiron Medical Technologies, London, UK.
  • Peter D Kecskemethy
    Kheiron Medical Technologies, London, UK.

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