Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis

Abstract

Background

Digital breast tomosynthesis (DBT) has higher diagnostic accuracy than digital mammography, but interpretation time is substantially longer. Artificial intelligence (AI) could improve reading efficiency.

Purpose

To evaluate the use of AI to reduce workload by filtering out normal DBT screens.

Materials and Methods

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