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

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 …

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

Importance With a shortfall in fellowship-trained breast radiologists, mammography
screening programs are looking toward artificial intelligence (AI) to increase efficiency and …

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

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 …

Background The Personal Performance in Mammographic Screening (PERFORMS) scheme
is used to assess reader performance. Whether this scheme can assess the performance of …

Abstract Interpretation of mammography for breast cancer (BC) screening can confer a
mortality benefit through early BC detection, can miss a cancer that is present or fast …

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 …