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 …

Background Artificial intelligence (AI) has shown promising results for cancer detection with
mammographic screening. However, evidence related to the use of AI in real screening …

Artificial intelligence (AI) could have the potential to accurately classify mammograms
according to the presence or absence of radiological signs of breast cancer, replacing or …

Purpose The aim of this study was to describe the current state of science regarding
independent external validation of artificial intelligence (AI) technologies for screening …

Objectives Artificial intelligence (AI) has shown promising results when used on
retrospective data from mammographic screening. However, few studies have explored the …

Artificial intelligence (AI) tools may assist breast screening mammography programs, but
limited evidence supports their generalizability to new settings. This retrospective study used …

Background Artificial intelligence (AI) systems performing at radiologist-like levels in the
evaluation of digital mammography (DM) would improve breast cancer screening accuracy …

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 …

Importance A computer algorithm that performs at or above the level of radiologists in
mammography screening assessment could improve the effectiveness of breast cancer …

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