Background Although several clinical breast cancer risk models are used to guide screening
and prevention, they have only moderate discrimination. Purpose To compare selected …

Randomized, clinical trials have established the efficacy of screening mammography in
improving survival from breast cancer for women through detection of early, asymptomatic …

Breast cancer (BC) is the most common malignancy in American women.*, 1 Mortality has
declined, in part because screening detects cancers at an early stage. 2 For most women …

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 …

Background Breast cancer risk models guide screening and chemoprevention decisions, but
the extent and effect of variability among models, particularly at the individual level, is …

PURPOSE We extended the Breast Cancer Surveillance Consortium (BCSC) version 2 (v2)
model of invasive breast cancer risk to include BMI, extended family history of breast cancer …

Background Inequitable access to personalized breast cancer screening and prevention
may compound racial and ethnic disparities in outcomes. The Breast Cancer Personalized …

Mammographic density is a strong predictor of breast cancer but only slightly increased the
discriminatory ability of existing risk prediction models in previous studies with limited racial …

To validate the performance of Mirai, a mammography-based deep learning model, in
predicting breast cancer risk over a 1–5-year period in Mexican women. This retrospective …

Opinion Statement Breast cancer does not wait until a woman reaches her 50's to strike. One
in six cases occurs in women between the ages of 40 and 49 and breast cancer is the most …