Test accuracy of artificial intelligence for examining breast screening mammograms: systematic review of current technologies in comparison to clinical requirements
In person: 21 February 2022 • 10:10 AM - 10:30 AM PST
This systematic review reports the accuracy of artificial intelligence (AI) for detection of breast cancer in digital mammography. AI to replace or augment the radiologist performed well in smaller studies (1,086 women, 520 cancers, 5/5 AI systems more accurate than single radiologist in laboratory), but this has not yet translated to larger studies (79,910 women, 1,878 cancer, 94% of AI systems evaluated were less accurate than a single radiologist). AI to triage out normal cases screened out 53%, 45% and 50% of low-risk women but also 10%, 4% and 0% of cancers detected by radiologists. Prospective studies are needed.
The Univ. of Warwick (United Kingdom)
Professor Sian Taylor-Phillips specialises in evidence review and synthesis for national policy-makers, and sits on the UK National Screening Committtee Adult Reference Group and AI Task Group. She also undertakes primary research specialising in breast cancer screening.