Artificial Intelligence in Ultrasound Imaging: Current Research and Applications

Authors

Shuo Wang, BS, Drexel University
Ji-Bin Liu, MD, Thomas Jefferson UniversityFollow
Ziyin Zhu, MD, Friendship Hospital, Beijing, China
John Eisenbrey, PhD, Thomas Jefferson UniversityFollow

Document Type

Article

Publication Date

9-30-2019

Comments

This is the author’s final published version in Advanced Ultrasound in Diagnosis and Therapy, Volume 3, Issue 3, September 2019, Pages 53-61.

The published version is available here. Copyright © Wang et al.

Abstract

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 that 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.

Recommended Citation

Wang, BS, Shuo; Liu, MD, Ji-Bin; Zhu, MD, Ziyin; and Eisenbrey, PhD, John, "Artificial Intelligence in Ultrasound Imaging: Current Research and Applications" (2019). Department of Radiology Faculty Papers. Paper 75.
https://jdc.jefferson.edu/radiologyfp/75

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Language

English