Although computer-aided diagnosis (CAD) is widely used in mammography, conventional
CAD programs that use prompts to indicate potential cancers on the mammograms have not …

This article reviews current limitations and future opportunities for the application of
computer-aided detection (CAD) systems and artificial intelligence in breast imaging …

Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …

Background Use of artificial intelligence (AI) as a stand-alone reader for digital
mammography (DM) or digital breast tomosynthesis (DBT) breast screening could ease …

We aimed to predict molecular subtypes of breast cancer using radiomics signatures
extracted from synthetic mammography reconstructed from digital breast tomosynthesis …

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

Background Racial disparities in breast cancer mortality have been reported.
Mammographic technology has undergone two major technology transitions since 2000 …

In this article, we explore the evidence around the relative benefits and harms of breast
cancer screening using a single radiologist to examine each female's mammograms for …

Abstract Purpose To compare Digital Breast Tomosynthesis (DBT) for cancers and normal
screens in women with dense breasts and negative mammography using a Radiomics …

Digital breast tomosynthesis (DBT) is an emerging breast cancer screening and diagnostic
modality that uses quasi-three-dimensional breast images to provide detailed assessments …