Background Improved breast cancer risk assessment models are needed to enable
personalized screening strategies that achieve better harm-to-benefit ratio based on earlier …

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 …

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

Background The multifactorial Breast and Ovarian Analysis of Disease Incidence and
Carrier Estimation Algorithm (BOADICEA) breast cancer risk prediction model has been …

Background Inclusion of mammographic breast density (BD) in breast cancer risk models
improves accuracy, but accuracy remains modest. Interval cancer (IC) risk prediction may be …

Please see the Editorial Comment by Sadia Khanani discussing this article. Artificial
intelligence (AI) applications for screening mammography are being marketed for clinical …

Background Mammographic microcalcifications are considered early signs of breast cancer
(BC). We examined the association between microcalcification clusters and the risk of …

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

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

Abstract The coronavirus disease 2019 (COVID-19) pandemic has caused major disruptions
to many aspects of life in Australia and globally. This includes actual and potential future …