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

OBJECTIVE. Digital breast tomosynthesis (DBT) is more accurate than full-field digital
mammography alone but requires a longer reading time. A radiologist reader study …

Objectives To compare the diagnostic performance and interpretation time of digital breast
tomosynthesis (DBT) for both novice and experienced readers with and without using a …

Purpose To evaluate a commercial tomosynthesis computer-aided detection (CAD) system
in an independent, multicenter dataset. Materials and Methods Diagnostic and screening …

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

Purpose To develop an artificial intelligence (AI) model for the diagnosis of breast cancer on
digital breast tomosynthesis (DBT) images and to investigate whether it could improve …

OBJECTIVE. The objective of our study was to assess ergonomic and diagnostic
performance–related issues associated with the interpretation of digital breast …

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) …

Importance An accurate and robust artificial intelligence (AI) algorithm for detecting cancer in
digital breast tomosynthesis (DBT) could significantly improve detection accuracy and …

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