Objectives Digital breast tomosynthesis (DBT) increases sensitivity of mammography and is
increasingly implemented in breast cancer screening. However, the large volume of images …

Purpose To evaluate performance improvements of general radiologists and breast imaging
specialists when interpreting a set of diverse digital breast tomosynthesis (DBT) …

Background Digital breast tomosynthesis (DBT) has higher diagnostic accuracy than digital
mammography, but interpretation time is substantially longer. Artificial intelligence (AI) could …

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

Background The high volume of data in digital breast tomosynthesis (DBT) and the lack of
agreement on how to best implement it in screening programs makes its use challenging …

Purpose To evaluate the use of artificial intelligence (AI) to shorten digital breast
tomosynthesis (DBT) reading time while maintaining or improving accuracy. Materials and …

Background The workflow of breast cancer screening programs could be improved given the
high workload and the high number of false-positive and false-negative assessments …

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

OBJECTIVE. The purpose of this study was to test the hypothesis whether two-view wide-
angle digital breast tomosynthesis (DBT) can replace full-field digital mammography (FFDM) …

Abstract Purpose Evaluate concurrent Computer-Aided Detection (CAD) with Digital Breast
Tomosynthesis (DBT) to determine impact on radiologist performance and reading time …