Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms.

Journal: European radiology
PMID:

Abstract

OBJECTIVES: To validate an AI system for standalone breast cancer detection on an entire screening population in comparison to first-reading breast radiologists.

Authors

  • Johanne Kühl
    Department of Clinical Research, University of Southern Denmark, Kløvervænget 10, 2ndfloor, 5000, Odense C, Denmark.
  • Mohammad Talal Elhakim
    mte@rsyd.dk.
  • Sarah Wordenskjold Stougaard
    Department of Clinical Research, University of Southern Denmark, Kløvervænget 10, 2ndfloor, 5000, Odense C, Denmark.
  • Benjamin Schnack Brandt Rasmussen
    Department of Clinical Research, University of Southern Denmark, Kløvervænget 10, 2ndfloor, 5000, Odense C, Denmark.
  • Mads Nielsen
    Department of Computer Science, University of Copenhagen, Copenhagen Ø DK-2100, Denmark; Biomediq A/S, Copenhagen Ø DK-2100, Denmark.
  • Oke Gerke
    Department of Nuclear Medicine, Odense University Hospital, 29 Sdr. Boulevard, 5000 Odense, Denmark. oke.gerke@rsyd.dk.
  • Lisbet Brønsro Larsen
  • Ole Graumann