
An AI model using mammogram images predicts 5-year breast cancer risk more accurately than traditional breast density assessment.
Key Details
- 1The study is presented at the RSNA annual meeting in Chicago.
- 2Clairity Breast, the first FDA-authorized image-only AI breast cancer risk model, was trained on over 421,000 mammograms.
- 3AI model performance was evaluated on more than 245,000 screening mammograms from the US and Europe.
- 4Women in the AI high-risk group had a >4x higher incidence of cancer (5.9%) than average-risk (1.3%), while density-based separation was modest (3.2% vs. 2.7%).
- 5Findings support integrating image-only AI risk scores with traditional risk factors for more personalized screening strategies.
Why It Matters
This research advances precision screening in breast imaging, offering radiologists a more nuanced, data-driven tool for risk stratification. Early identification of high-risk patients via AI could lead to tailored screening protocols and improved outcomes.

Source
EurekAlert
Related News

•EurekAlert
AI System Enhances Cancer Cell Detection via Light Scattering Spectra
Japanese researchers developed an AI system using light scattering spectra to improve cancer cell identification in cytology.

•EurekAlert
AI and X-ray Imaging Reveal Lost Texts in Ancient Roman Scrolls
AI and x-ray technology enable scientists to virtually read previously unreadable, carbonized Roman scrolls from Herculaneum.

•EurekAlert
AI’s Potential to Expand, Not Shrink, the Clinical Workforce
AI advancements may lead to more, not fewer, healthcare jobs, challenging common fears about workforce reductions in specialties like radiology.