Screening for breast cancer with mammography has been introduced in various countries
over the last 30 years, initially using analog screen-film-based systems and, over the last 20 …

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

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 …

The relatively recent reintroduction of deep learning has been a revolutionary force in the
interpretation of diagnostic imaging studies. However, the technology used to acquire those …

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

Breast cancer screening has been shown to significantly reduce mortality in women. The
increased utilization of screening examinations has led to growing demands for rapid and …

Attempts to use computers to aid in the detection of breast malignancies date back more
than 20 years. Despite significant interest and investment, this has historically led to minimal …

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 …

Cancer is the second cause of mortality worldwide and it has been identified as a perilous
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …

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