Performance of clinical breast cancer risk prediction models versus a mammography-based artificial intelligence risk model
M. Kaul·Celine M Vachon·Alena Wadzinske·Imon Banerjee·Dan Hursh·Aaron Norman·Fang-Fang Wu·Ramon Correa Medero·Fergus Couch·Sandhya Pruthi·Despina Kontos·Anne Marie McCarthy·JA Olson·Stacey J. Winham·Karla Kerlikowske·C. Scott
MIRAI demonstrated stronger discriminatory accuracy than clinical models for five-year overall and invasive bc risk prediction but overestimated risk for both bc endpoints. AI-based risk models should consider discriminatory accuracy and calibration for invasive cancer before implementation.