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AI-Supported Mammography Increases Early Detection and Reduces Aggressive Breast Cancers: Study
AI-supported screening detected 81% of cancers at screening and reduced interval cancers by 12%, lowering aggressive cancer rates without increasing false positives, researchers 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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Radiologists catch more aggressive breast cancers by using AI to help read mammograms, study finds
When radiologists used artificial intelligence to help read mammograms, the rate of detection of breast cancers increased, resulting in fewer aggressive and advanced cases, a large trial in Sweden has found.
·Canada
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The IndependentReposted by 
The Independent (US)
The Independent (US)AI-supported breast cancer screenings result in fewer aggressive cases
Routine screening prevents around 1,300 deaths from breast cancer each year in the UK, but AI-supported mammography screenings could save more lives
·London, United Kingdom
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AI-assisted mammograms cut risk of developing aggressive breast cancer
Interval cancers are aggressive tumours that grow during the interval after someone has been screened for cancer and before they are screened again, and AI seems to be able to identify them at an early stage
·Baltimore, United States
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Leaning Left5Leaning Right4Center10Last UpdatedBias Distribution53% Center
Bias Distribution
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53% Center
L 26%
C 53%
R 21%
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