AI Should Read Mammograms Only When Confident: A Hybrid Breast Cancer Screening Reading Strategy.

Sarah D Verboom¹, Jaap Kroes², Santiago Pires², Mireille J M Broeders^3,4, Ioannis Sechopoulos^1,4,5

¹Radboud University Medical Center, Department of Medical Imaging, Geert Grooteplein Zuid 10, Nijmegen, 6525 GA, the Netherlands.

²ScreenPoint Medical BV, Nijmegen, the Netherlands.

³Radboud University Medical Center, IQ Health Science Department, Nijmegen, the Netherlands.

⁴Dutch Expert Centre for Screening (LRCB), Nijmegen, the Netherlands.

⁵University of Twente, Technical Medicine Center, Enschede, the Netherlands.

PubMed DOI

Abstract

Background Quantifying the uncertainty in artificial intelligence (AI)-based interpretations of mammograms could help AI integration in screening. Purpose To evaluate the reduction in radiologists' reading workload in mammographic screening while maintaining performance by incorporating an AI model that includes uncertainty quantification. Materials and Methods An AI model was introduced that outp…

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