Applications of Artificial Intelligence in Breast Imaging.

Journal: Radiologic clinics of North America
Published Date:

Abstract

Artificial intelligence (AI) technology shows promise in breast imaging to improve both interpretive and noninterpretive tasks. AI-based screening triage may help identify normal examinations and AI-based computer-aided detection (AI-CAD) may increase cancer detection and reduce false positives. Risk assessment, quality assurance, and other workflow tasks may also be streamlined. AI adoption will depend on robust evidence of improved quality, increased efficiency, and cost-effectiveness. Reliance on AI will likely proceed through stages and will involve careful attention to its limitations to prevent overconfidence in its application.

Authors

  • Matthew B Morgan
    University of Utah School of Medicine, Department of Radiology and Imaging Sciences, Salt Lake City, UT, USA.
  • Jonathan L Mates
    Manifold, Inc, Oakland, CA, USA.