Advanced Ultrasound in Diagnosis and Therapy ›› 2019, Vol. 3 ›› Issue (3): 53-61.doi: 10.37015/AUDT.2019.190811

• Review Article •     Next Articles

Artificial Intelligence in Ultrasound Imaging: Current Research and Applications

Shuo Wang, BSa, Ji-Bin Liu, MDb, Ziyin Zhu, MDc, John Eisenbrey, PhDb*()   

  1. a Department of Biomedical Engineering, Drexel University, Philadelphia, PA, USA
    b Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA;
    c Department of Ultrasound, Friendship Hospital, Beijing, China
  • Received:2019-05-07 Online:2019-09-30 Published:2019-09-05
  • Contact: John Eisenbrey, PhD,


Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent software or system based on big data information, machine learning and deep learning technologies. The rapid development of science and technology as well as internet communication has enabled AI and big data to gradually apply to many fields of health care. The modern imaging medicine is one of the first areas where AI can play an important role and applications. As cross-sectional imaging, ultrasound (US) is well suitable for AI technology to standardize imaging protocols and improve diagnostic accuracy. This article reviews current AI technology and related clinical applications in the fields of thyroid, breast and liver US.

Key words: Artificial intelligence; Machine learning; Deep learning; Ultrasound imaging; Thyroid; Breast; Liver