Artificial intelligence models can use breast imaging data to pinpoint those at highest risk of getting breast cancer in the next five years, better than a standard approach.
Artificial intelligence can pinpoint patients at highest risk of developing breast cancer in the next five years better than a standard risk assessment used in the clinic, a study suggests.
AI has helped radiologists identify hundreds of features in a mammogram that can aid doctors in diagnosing breast cancer, said Arasu."I was interested in understanding how the same technology can help us understand future risk," he said. In a study published Tuesday in the journal Radiology, Arasu and his colleagues analyzed how well five AI models predicted which of 18,000 patients had the highest five-year risk of breast cancer.
Patients with the highest AI risk scores, in the 90th percentile, accounted for 24% to 28% of the cancers that occurred within five years. By comparison, the highest BCSC scores captured only 21% of cancer cases. The AI models showed the biggest advantage over the BCSC model when predicting which patients were most likely to develop breast cancer within a year of their mammogram.
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