Breast cancer is the most common malignant tumor in Chinese women, and its incidence is
increasing. Regular screening is an effective method for early tumor detection and improving …

Executive summary The Lancet Breast Cancer Commission—a diverse, multidisciplinary
international group—are unanimous in our determination to improve the lives of all people …

Introduction Breast cancer is a significant contributor to female mortality, exerting a public
health burden worldwide, especially in China, where risk‐prediction models with good …

Purpose: To implement two Artificial Intelligence (AI) methods, radiomics and deep learning,
to build diagnostic models for patients presenting with architectural distortion on Digital …

Background Despite the rising incidence and mortality of breast cancer among women in
China, there are currently few predictive models for breast cancer in the Chinese population …

Backgrounds Breast cancer screening plays an important role in the early detection,
diagnosis and treatment of breast cancer. The aim of this study was to evaluate the …

Abstract Background: The Nigerian Breast Cancer Study (NBCS) model is a new risk
assessment tool developed for predicting risk of invasive breast cancer in Nigeria. Its …

Objectives To systematically review and critically appraise published studies of risk
prediction models for breast cancer in the general population without breast cancer, and …

Methods To improve prediction performance, we introduced a Bagging ensemble framework
to an absolute risk model based on ensemble penalized Cox regression (EPCR). We then …

Background: Risk prediction models integrating classical risk factors (CRF), mammographic
density (MD), and polygenic risk score (PRS) are increasingly developed to identify high-risk …