AI, breast density assessment spot more interval cancers

A team of researchers from the Netherlands led by Dr. Alexander Wanders of the Dutch Breast Cancer Screening Program trained a neural network to predict the risk of interval cancer by analyzing breast density assessment measurements and an AI risk score produced by a commercial breast-cancer detection model. In testing, the neural network identified 51% of women who would go on to develop interval cancer, yielding better results than relying only on the AI breast cancer detection software or breast density measurements.

“The risk model has the potential to personalize current breast…