A decision-making aid to help women at high risk of breast cancer decide whether to add MRIs to their screening regimen has proved popular with both patients and doctors alike in early testing.
Researchers at Indiana University School of Medicine, Mayo Clinic, Washington University in St. Louis, the University of Pennsylvania, Columbia University, and Intel received a five-year, $3.7 million NCI grant for a multi-site study developing a privacy-preserving artificial intelligence approach—called federated learning—which aims to improve breast cancer risk prediction and reduce health inequities in cancer prevention care.
