Ultrasonography.  2021 Apr;40(2):183-190. 10.14366/usg.20117.

Artificial intelligence in breast ultrasonography

• Kim J
• Kim HJ
• Kim C
• Kim WH

• KMID: 2514003
• DOI: http://doi.org/10.14366/usg.20117

Abstract

Although breast ultrasonography is the mainstay modality for differentiating between benign and malignant breast masses, it has intrinsic problems with false positives and substantial interobserver variability. Artificial intelligence (AI), particularly with deep learning models, is expected to improve workflow efficiency and serve as a second opinion. AI is highly useful for performing three main clinical tasks in breast ultrasonography: detection (localization/ segmentation), differential diagnosis (classification), and prognostication (prediction). This article provides a current overview of AI applications in breast ultrasonography, with a discussion of methodological considerations in the development of AI models and an up-to-date literature review of potential clinical applications.

Keyword

Artificial intelligence; Breast neoplasm; Ultrasonography; Convolutional neural network; Breast diseases