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AI-assisted imaging tool for breast cancer could tailor screening for women according to individual risk
An artificial intelligence model that analyzes women's past and recent annual 3D mammograms is more effective at predicting the five-year risk of developing breast cancer than a tool that uses only the most recent 3D mammogram, as well as…
AI Summary
Researchers at NYU Langone Health and its Perlmutter Cancer Center created a deep‑learning tool named NYU‑DRP that analyzes a woman’s 3D mammograms taken over multiple years, known as longitudinal digital breast tomosynthesis (longitudinal DBT). The study found that NYU‑DRP predicts a woman’s five‑year breast‑cancer risk more accurately than a model that uses only the most recent 3D mammogram or an AI model that analyzes 2D mammograms. The improved predictive power comes from incorporating the full history of a patient’s 3D imaging data.
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