Performance of artificial intelligence in 7533 consecutive prevalent screening mammograms from the BreastScreen Australia program.

Journal: European radiology
Published Date: Nov 13, 2023

Abstract

OBJECTIVES: To assess the performance of an artificial intelligence (AI) algorithm in the Australian mammography screening program which routinely uses two independent readers with arbitration of discordant results.

Authors

  • John Waugh
    Monash BreastScreen, Monash Cancer Centre, Moorabbin Hospital, 823-865 Centre Road, Bentleigh East, Victoria, 3165, Australia. jrwinoz@bigpond.net.au.
  • Jill Evans
    Monash BreastScreen, Monash Cancer Centre, Moorabbin Hospital, 823-865 Centre Road, Bentleigh East, Victoria, 3165, Australia.
  • Miranda Miocevic
    Monash BreastScreen, Monash Cancer Centre, Moorabbin Hospital, 823-865 Centre Road, Bentleigh East, Victoria, 3165, Australia.
  • Darren Lockie
    Monash BreastScreen, Monash Cancer Centre, Moorabbin Hospital, 823-865 Centre Road, Bentleigh East, Victoria, 3165, Australia.
  • Parisa Aminzadeh
    Monash BreastScreen, Monash Cancer Centre, Moorabbin Hospital, 823-865 Centre Road, Bentleigh East, Victoria, 3165, Australia.
  • Anne Lynch
    Monash BreastScreen, Monash Cancer Centre, Moorabbin Hospital, 823-865 Centre Road, Bentleigh East, Victoria, 3165, Australia.
  • Robin J Bell
    Women's Health Research Program, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, 3004, Australia.

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