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 …
N Houssami, G Kirkpatrick-Jones… - Expert review of …, 2019 - Taylor & Francis
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 …
S Batchu, F Liu, A Amireh, J Waller, M Umair - Oncology, 2021 - karger.com
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 …
A Rodriguez-Ruiz, K Lång… - JNCI: Journal of the …, 2019 - academic.oup.com
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 …