Current Status, Prospect and Bottleneck of Ultrasound AI Development: A Systemic Review

Siyi Xun, Wei Ke, Mingfu Jiang, Huachao Chen, Haoming Chen, Chantong Lam, Ligang Cui, Tao Tan

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

Abstract

In recent years, ultrasound imaging has become an important means of medical diagnosis because of its safety and radiation-free advantages. With the continuous progress of deep learning, Artificial Intelligence (AI) models can process large amounts of ultrasound data quickly and accurately, providing decision support for clinicians in diagnosis. From the perspective of ultrasound image classification, detection and segmentation, this paper systemically introduces the latest progress of AI technology in ultrasound imaging, and summarizes the recent high-level related work. At the same time, we also discuss the development prospect and bottleneck of AI in ultrasound imaging processing, which provides the future research directions for researchers in related fields.

Original languageEnglish
Pages (from-to)61-72
Number of pages12
JournalAdvanced Ultrasound in Diagnosis and Therapy
Volume7
Issue number2
DOIs
Publication statusPublished - Jun 2023

Keywords

  • Artificial intelligence
  • Deep learning
  • Diagnosis
  • Ultrasound imaging

Fingerprint

Dive into the research topics of 'Current Status, Prospect and Bottleneck of Ultrasound AI Development: A Systemic Review'. Together they form a unique fingerprint.

Cite this