The role of an artificial intelligence software in clinical senology: a mammography multi-reader study.

Journal: La Radiologia medica
Published Date: Dec 11, 2023

Abstract

PURPOSE: To evaluate the diagnostic role of a dedicated AI software in detecting anomalous breast findings on mammography and tomosynthesis images in the clinical setting, stand-alone and as aid of four readers.

Authors

  • Enrica Bassi
    Department of Radiology, Verona University Hospital, Verona, Italy.
  • Anna Russo
    Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37024, Negrar (VR), Italy.
  • Eugenio Oliboni
    Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37024, Negrar (VR), Italy.
  • Federico Zamboni
    Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37024, Negrar (VR), Italy.
  • Cecilia De Santis
    Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37024, Negrar (VR), Italy.
  • Giancarlo Mansueto
    Department of Radiology, Verona University Hospital, Verona, Italy.
  • Stefania Montemezzi
    Department of Pathology and Diagnostics, Radiology Unit, Azienda Ospedaliera Universitaria Integrata, P.le Stefani 1, 37126, Verona, Italy.
  • Giovanni Foti
    Department of Radiology, IRCCS Sacro Cuore Hospital, Via Don A. Sempreboni 10, 37024, Negrar (VR), Italy. gfoti81@yahoo.it.

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