Applications of Artificial Intelligence in Breast Imaging

Matthew B Morgan; Jonathan L Mates

doi:10.1016/j.rcl.2020.08.007

Applications of Artificial Intelligence in Breast Imaging

Radiol Clin North Am. 2021 Jan;59(1):139-148. doi: 10.1016/j.rcl.2020.08.007.

Authors

Matthew B Morgan¹, Jonathan L Mates²

Affiliations

¹ Department of Radiology and Imaging Sciences, University of Utah, 50 North Medical Drive, Salt Lake City, UT 84132, USA. Electronic address: mbmrad@gmail.com.
² Viz.ai, San Francisco, CA, USA.

PMID: 33222996
DOI: 10.1016/j.rcl.2020.08.007

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.

Keywords: Artificial intelligence; Breast imaging; Machine learning; Mammography.

Publication types

Review

MeSH terms

Artificial Intelligence*
Breast / diagnostic imaging
Breast Neoplasms / diagnostic imaging*
Female
Humans
Image Interpretation, Computer-Assisted / methods*
Mammography / methods*