Presentations will highlight how AI can improve or enhance breast imaging, covering topics such as the use of deep learning to reduce digital breast tomosynthesis (DBT) reading time and even further improve its cancer detection capability; the benefits of allowing AI algorithms to sift through mammograms and eliminate low-malignancy exams, thus improving radiologists' workflow; using AI as a tool to reduce the recall rate on digital mammography; and machine learning-based evaluation of DBT screening through the creation of customized synthesized 2D images. In fact, the RSNA plans to kick off the week with a Deep Learning Classroom session that's part of its AI Showcase, and the session will be repeated throughout the meeting.