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 …

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

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

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

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

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

The ultimate goals of the application of artificial intelligence (AI) to digital breast
tomosynthesis (DBT) are the reduction of reading times, the increase of diagnostic …

Purpose To investigate how an artificial intelligence (AI) system performs at digital
mammography (DM) from a screening population with ground truth defined by digital breast …

Importance Breast cancer screening is among the most common radiological tasks, with
more than 39 million examinations performed each year. While it has been among the most …

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