A study taking in thousands of mammograms saw artificial intelligence outperform the standard clinical risk model for predicting the five-year risk for breast cancer, according to a research paper published on June 6 in the medical journal Radiology. The research was based on screening mammograms from 2016, with the team then using five AI-supported algorithms to generate risk scores, which were compared to each other and to a standard risk prediction system known as the Breast Cancer Surveillance Consortium (BCSC) model. BCSC is used to generate a risk score based on information such as a patient’s age, family history of the disease, whether she has given birth and whether she has dense breasts. “All five AI algorithms performed better than the BCSC risk model for predicting breast cancer risk at 0 to 5 years,” the report found, adding that such a “strong predictive performance” suggests AI is “identifying both missed cancers and breast tissue features that help predict fu
In a large study of thousands of mammograms, artificial intelligence (AI) algorithms outperformed the standard clinical risk model for predicting the five-year risk for breast cancer. The results of the study were published in Radiology, a journal of the Radiological Society of North America (RSNA)