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AI-Supported Mammography Increases Early Detection and Reduces Aggressive Breast Cancers: Study
AI mammography detected 31% more cancers at screening and reduced interval cancers by 12%, leading to fewer invasive and aggressive breast cancers, study found.
- Published in The Lancet, the MASAI randomized trial led by Kristina Lång, PhD, Lund University, involved more than 100,000 Swedish women and was the first randomized AI mammography study.
- ScreenPoint Medical's AI was trained on more than 200,000 mammography scans from 10 countries and used a 1–10 triage scoring system to assign low-risk scans to single reading and high-risk to double reading by radiologists.
- Follow-Up showed 1.55 interval cancers per 1,000 women in the AI group, a 12% reduction from 1.76 per 1,000 in control, with sensitivity at 80.5% and specificity at 98.5%.
- Lång expects rollout across south-west Sweden within months, with AI easing radiologists' workloads and shortening waiting times, potentially cutting waiting lists.
- Authors warned the trial has generalizability limits, including one mammography vendor and experienced radiologists in Sweden, and said countries need to assess local impact and cost-effectiveness; experts estimate comparable trials may take about five years.
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AI-supported mammography improves early detection of breast cancer
Artificial intelligence (AI)-supported mammography identifies more cancers during screening and reduces the rate of breast cancer diagnosis by 12% in the years following, finds the first randomised controlled trial of its kind involving over 100,000 Swedish women published in The Lancet journal.
·United States
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Mammography has been linked to reducing breast cancer mortality, mainly thanks to early diagnosis and treatment.
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Leaning Left6Leaning Right7Center13Last UpdatedBias Distribution50% Center
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50% Center
L 23%
C 50%
R 27%
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