AI May Help Predict Real Risk For Breast Cancer

AI May Help Predict Real Risk For Breast Cancer

Statistics are a blunt instrument but a new deep learning model identifies imaging biomarkers on screening mammograms to predict a patient's risk for developing breast cancer with greater accuracy than traditional risk assessment tools. Only one feature from the screening mammogram itself, breast density, is incorporated into traditional models.Image: Investigación y Desarrollo\"Why should we limit ourselves to only breast density when there is such rich digital data embedded in every woman's mammogram?\" It contains imaging biomarkers that are highly predictive of future cancer risk, but until we had the tools of deep learning, we were not able to extract this information to improve patient care. \"Lamb and a team of researchers developed the new deep learning algorithm to predict breast cancer risk using data from five MGH breast cancer screening sites. The deep learning model achieved a predictive rate of 0.71, significantly outperforming the traditional risk model, which achieved a rate of 0.61.Lamb said the new deep learning model has been externally validated in Sweden and Taiwan, and additional studies are planned for larger African-American and minority populations.

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