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

Importance Mammography screening currently relies on subjective human interpretation.
Artificial intelligence (AI) advances could be used to increase mammography screening …

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

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 …

Objective To investigate the general population's view on the use of artificial intelligence (AI)
for the diagnostic interpretation of screening mammograms. Methods Dutch women aged 16 …

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

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 …

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