The use of artificial intelligence (AI) to safely reduce the workload of breast cancer screening: a retrospective simulation study.

Pantelis Gialias^1,2, Maria Kristoffersen Wiberg¹, Anne-Kathrin Brehl³, Tomas Bjerner^1,2, Håkan Gustafsson^2,4

¹Department of Radiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

²Centre for Medical Image Science and Visualization (CMIV), Linköping University, Linköping Sweden.

³ScreenPoint Medical BV, Toernooiveld 300, Nijmegen, The Netherlands.

⁴Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

PubMed DOI

Abstract

BackgroundArtificial intelligence (AI)-based systems have the potential to increase the efficiency and effectiveness of breast cancer screening programs but need to be carefully validated before clinical implementation.PurposeTo retrospectively evaluate an AI system to safely reduce the workload of a double-reading breast cancer screening program.Material and MethodsAll digital mammography (DM) sc…

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