Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload.

Annie Y NgBen GlockerCary OberijeGeorgia FoxNisha SharmaJonathan J JamesÉva AmbrózayJonathan NashEdith KarpatiSarah KerruishPeter D Kecskemethy

Published in: Journal of breast imaging (2024)

The simulation indicates that the proposed workflow retains screening performance of human double reading while substantially reducing the workload. Further research should study the impact on the second human reader because they would only assess cases in which the AI prediction and first human reader disagree.

Keyphrases

artificial intelligence
endothelial cells
induced pluripotent stem cells
machine learning
pluripotent stem cells
deep learning
big data
electronic health record
quality improvement