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E2305. Artificial Intelligence in Breast Imaging: Basic Concepts and Applications
Authors
  1. Piers Pravdo; Geisinger Medical Center
  2. Monica Froicu; Geisinger Medical Center
Background
After decades of development and advancement, artificial intelligence (AI) is increasingly integrated into the breast imaging workflow. While AI image interpretation has been the primary focus in breast imaging with the most radiologist familiarity, AI has multiple lesser known applications in image acquisition, image generation, worklist management, image processing, and report generation with major benefits for radiologists in terms of image quality, efficiency, and accuracy. Despite this, many radiologists are not aware of any exposure to the lesser known use cases listed above, even as expanded use of digital breast tomosynthesis (DBT) and magnetic resonance imaging (MRI) increase workloads.

Educational Goals / Teaching Points
Introduce the potential benefits of artificial intelligence on the breast imaging workflow. Review the concepts differentiating artificial intelligence (AI), machine learning (ML), artificial neural networks (ANN), and deep learning (DL). Review the AI developmental process from concept to implementation. Discuss the current, potential, and future applications of AI in the breast imaging workflow, including image acquisition, image creation, workflow management, image analysis, interpretation, and report creation.

Key Anatomic/Physiologic Issues and Imaging Findings/Techniques
This exhibit will focus on a broad understanding of how AI is created and implemented with current and potential applications of integrated AI within mammography and women’s imaging. Workflow benefits in patient image acquisition, image creation, image analysis, worklist management, image interpretation, and report construction are discussed.

Conclusion
As artificial intelligence continues to advance in power and complexity, breast imagers should be aware of the potential possibilities, applications, and benefits of integrating AI into their ever-busy practices.