Objective To examine the accuracy of artificial intelligence (AI) for the detection of breast
cancer in mammography screening practice. Design Systematic review of test accuracy …

Clinical oncology is experiencing rapid growth in data that are collected to enhance cancer
care. With recent advances in the field of artificial intelligence (AI), there is now a …

Background Retrospective studies have shown promising results using artificial intelligence
(AI) to improve mammography screening accuracy and reduce screen-reading workload; …

Background Artificial intelligence (AI) as an independent reader of screening mammograms
has shown promise, but there are few prospective studies. Our aim was to conduct a …

Background We propose a decision-referral approach for integrating artificial intelligence
(AI) into the breast-cancer screening pathway, whereby the algorithm makes predictions on …

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 The impact of artificial intelligence (AI)–based computer-aided detection (CAD)
software has not been prospectively explored in real-world populations. Purpose To …

Background Developments in artificial intelligence (AI) systems to assist radiologists in
reading mammograms could improve breast cancer screening efficiency. Purpose To …

Breast mass identification is a crucial procedure during mammogram-based early breast
cancer diagnosis. However, it is difficult to determine whether a breast lump is benign or …

Interpretability in machine learning models is important in high-stakes decisions such as
whether to order a biopsy based on a mammographic exam. Mammography poses …