Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study.

Journal: The Lancet. Oncology
Published Date:

Abstract

BACKGROUND: Retrospective studies have shown promising results using artificial intelligence (AI) to improve mammography screening accuracy and reduce screen-reading workload; however, to our knowledge, a randomised trial has not yet been conducted. We aimed to assess the clinical safety of an AI-supported screen-reading protocol compared with standard screen reading by radiologists following mammography.

Authors

  • Kristina Lång
    Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, 8092, Zürich, Switzerland.
  • Viktoria Josefsson
    Division of Diagnostic Radiology, Department of Translational Medicine, Lund University, Malmö, Sweden; Unilabs Mammography Unit, Skåne University Hospital, Malmö, Sweden.
  • Anna-Maria Larsson
    Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden.
  • Stefan Larsson
    The Boston Consulting Group, Stockholm, Sweden.
  • Charlotte Högberg
    Department of Technology and Society, Lund University Faculty of Engineering, Lund, Sweden charlotte.hogberg@lth.lu.se.
  • Hanna Sartor
    Diagnostic Radiology, Department of Translational Medicine, Lund University, Skåne University Hospital, Lund, Sweden.
  • Solveig Hofvind
    Section for Breast Cancer Screening, Cancer Registry of Norway, Oslo, Norway.
  • Ingvar Andersson
    Unilabs Breast Center, Skåne University Hospital, Jan Waldenströms gata 22, SE-20502, Malmö, Sweden.
  • Aldana Rosso
    Division of Diagnostic Radiology, Department of Translational Medicine, Lund University, Malmö, Sweden.