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

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 …

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

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

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: The aim of this study is to systematically review the literature to summarize the
evidence surrounding the clinical utility of artificial intelligence (AI) in the field of …

Background Recent deep learning (DL) approaches have shown promise in improving
sensitivity but have not addressed limitations in radiologist specificity or efficiency. Purpose …

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

Objectives Performance of recently developed deep learning models for image classification
surpasses that of radiologists. However, there are questions about model performance …