Advanced Ultrasound in Diagnosis and Therapy ›› 2023, Vol. 7 ›› Issue (2): 61-72.doi: 10.37015/AUDT.2023.230020

• Review Articles • Previous Articles     Next Articles

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

Siyi Xun, MAa, Wei Ke, PhDa, Mingfu Jiang, MAa, Huachao Chen, BAa, Haoming Chen, BAa, Chantong Lam, PhDa, Ligang Cui, MDb,*(), Tao Tan, PhDa,*()   

  1. a Faculty of Applied Sciences, Macao Polytechnic University, Macao
    b Department of Ultrasonography, Peking University Third Hospital, Beijing, China
  • Received:2023-03-29 Revised:2023-04-07 Accepted:2023-04-22 Online:2023-06-30 Published:2023-04-27
  • Contact: Ligang Cui, MD, Tao Tan, PhD,;


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.

Key words: Artificial intelligence; Ultrasound imaging; Deep learning; Diagnosis