Deep learning predicts woman’s risk for breast cancer – EurekAlert

OAK BROOK, Ill. – Researchers at Massachusetts General Hospital (MGH) have developed a deep learning model that identifies imaging biomarkers on screening mammograms to predict a patient’s risk for developing breast cancer with greater accuracy than traditional risk assessment tools. Results of the study are being presented at the annual meeting of the Radiological Society of North America (RSNA).
“Traditional risk assessment models do not leverage the level of detail that is contained within a…

Click here to view the original article.