AI models combining mammography and clinical data improve identification of women at high short-term breast cancer risk.
Key Details
- 1Researchers combined clinical information with mammogram data in risk assessment models.
- 2The study used data from over 2,000 women screened for breast cancer between 2013 and 2020.
- 3418 women developed breast cancer within two years; 1,775 remained cancer-free for at least two years.
- 4Traditional risk models focus on the long-term (5–10 years), but new AI models target short-term (2-year) prediction.
- 5Short-term models can enable more targeted screening and earlier, less invasive intervention.
Why It Matters
Enhancing short-term risk prediction can help personalize breast cancer screening, potentially leading to earlier detection and better outcomes. AI-driven approaches could shift screening practices towards more individualized and timely care.
Source
Health Imaging
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