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 …

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 …

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

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

Background There is considerable interest in the potential use of artificial intelligence (AI)
systems in mammographic screening. However, it is essential to critically evaluate the …

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 is to assess the “real-world” impact of an artificial
intelligence (AI) tool designed to detect breast cancer in digital breast tomosynthesis (DBT) …

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

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 …

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