Despite decades of laboratory, epidemiological and clinical research, breast cancer
incidence continues to rise. Breast cancer remains the leading cancer-related cause of …

Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …

Abstract The European Collaborative on Personalized Early Detection and Prevention of
Breast Cancer (ENVISION) brings together several international research consortia working …

Apart from high-risk scenarios such as the presence of highly penetrant genetic mutations,
breast screening typically comprises mammography or tomosynthesis strategies defined by …

The incidence of breast cancer continues to increase worldwide. Population-based
screening is available in many countries but may not be the most efficient use of resources …

Background Some endogenous hormones have been associated with breast cancer risk,
but the nature of these relationships is not fully understood. Methods UK Biobank was used …

Screening with digital breast tomosynthesis (DBT) improves breast cancer detection and
reduces false positives. However, currently, no breast cancer risk model takes advantage of …

Background Rigorous evaluation of the calibration and discrimination of breast-cancer risk-
prediction models in prospective cohorts is critical for applications under clinical guidelines …

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

Abstract Information in digital mammogram images has been shown to be associated with
the risk of developing breast cancer. Longitudinal breast cancer screening mammogram …