Screening mammography aims to identify breast cancer at earlier stages of the disease,
when treatment can be more successful. Despite the existence of screening programmes …

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 …

Artificial intelligence (AI) has the potential to improve breast cancer screening; however,
prospective evidence of the safe implementation of AI into real clinical practice is limited. A …

Mammographic screening is widely used for the detection of breast cancers, but has its
flaws. For example, false-positive findings can lead to unnecessary medical interventions …

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 We propose a decision-referral approach for integrating artificial intelligence
(AI) into the breast-cancer screening pathway, whereby the algorithm makes predictions on …

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

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

Although computers have had a role in interpretation of mammograms for at least two
decades, their impact on performance has not lived up to expectations. However, in the last …

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