Breast density is an independent risk factor for breast cancer. In digital mammography and
digital breast tomosynthesis, breast density is assessed visually using the four-category …

Early detection decreases breast cancer death. The ACR recommends annual screening
beginning at age 40 for women of average risk and earlier and/or more intensive screening …

Thirty-eight states and the District of Columbia (DC) have dense breast notification laws that
mandate varying levels of patient notification about breast density after a mammogram, and …

PURPOSE Image-derived artificial intelligence–based short-term risk models for breast
cancer have shown high discriminatory performance compared with traditional …

Background Image-derived artificial intelligence (AI)-based risk models for breast cancer
have shown high discriminatory performances compared with clinical risk models based on …

Objectives Digital breast tomosynthesis (DBT) can detect more cancers than the current
standard breast screening method, digital mammography (DM); however, it can substantially …

Background Breast cancer is the leading cause of cancer-related fatalities among women
worldwide. Conventional screening and risk prediction models primarily rely on …

Simple Summary The aim of this study was to perform an external validation in a US
screening cohort of a mammography-derived AI risk model that was originally developed in …

Recently, deep learning models have shown the potential to predict breast cancer risk and
enable targeted screening strategies, but current models do not consider the change in the …

Simple Summary We investigated the benefits of adding lifestyle and familial risk factors to a
mammographic image-derived short-term AI risk model in a 10-year follow-up study for its …