AI Outperforms Standard Risk Model in Predicting Breast Cancer

Doctors usually calculate a woman’s breast cancer risk using the Breast Cancer Surveillance Consortium model, which relies on self-reported information to come up with a risk score. That score is based on information such as a patient’s age, family history of the disease, if a woman has given birth, and whether she has dense breasts.

The research team used five AI algorithms to come up with risk scores based on the 2016 mammograms. Those AI risk scores were compared to the BCSC clinical risk score. AI outperformed the BCSC model for risk through 5 years. The AI algorithms were particularly good at predicting whether a patient would have breast cancer within a year of getting a mammogram, the study showed.

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AI-based model may help to better predict future breast cancer riskThe risk of developing breast cancer is usually analyzed using clinical risk models, like the Breast Cancer Surveillance Consortium (BCSC). The AI model outperformed it.
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