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

Purpose To compare breast cancer detection performance of radiologists reading
mammographic examinations unaided versus supported by an artificial intelligence (AI) …

Introduction: Various factors are driving interest in the application of artificial intelligence (AI)
for breast cancer (BC) detection, but it is unclear whether the evidence warrants large-scale …

Background Artificial intelligence (AI) has been proposed to reduce false-positive screens,
increase cancer detection rates (CDRs), and address resourcing challenges faced by breast …

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 …

Objectives To evaluate the potential of artificial intelligence (AI) to identify normal
mammograms in a screening population. Methods In this retrospective study, 9581 double …

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 …

Purpose To evaluate the benefits of an artificial intelligence (AI)–based tool for two-
dimensional mammography in the breast cancer detection process. Materials and Methods …

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 …

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