  Quantitative ultrasound (QUS) imaging is a reliable, fast and inexpensive
technique to extract physically descriptive parameters for assessing
pathologies. Despite its safety and efficacy, QUS suffers from several major
drawbacks: poor imaging quality, inter- and intra-observer variability which
hampers the reproducibility of measurements. Therefore, it is in great need to
develop automatic method to improve the imaging quality and aid in measurements
in QUS. In recent years, there has been an increasing interest in artificial
intelligence (AI) applications in ultrasound imaging. However, no research has
been found that surveyed the AI use in QUS. The purpose of this paper is to
review recent research into the AI applications in QUS. This review first
introduces the AI workflow, and then discusses the various AI applications in
QUS. Finally, challenges and future potential AI applications in QUS are
discussed.
