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Current Medical Imaging

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ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

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Review Article

Interdisciplinary Collaboration Opportunities, Challenges, and Solutions for Artificial Intelligence in Ultrasound

Author(s): Qingrong Xia, Meng Du, Bin Li, Likang Hou and Zhiyi Chen*

Volume 18, Issue 10, 2022

Published on: 29 April, 2022

Article ID: e210322202461 Pages: 6

DOI: 10.2174/1573405618666220321123126

Price: $65

Abstract

Ultrasound is one of the most widely utilized imaging tools in clinical practice with the advantages of noninvasive nature and ease of use. However, ultrasound examinations have low reproducibility and considerable heterogeneity due to the variability of operators, scanners, and patients. Artificial Intelligence (AI)-assisted ultrasound has advanced in recent years, bringing it closer to routine clinical use. The combination of AI with ultrasound has opened up a world of possibilities for increasing work productivity and precision diagnostics. In this article, we describe AI strategies in ultrasound, from current opportunities, constraints to potential options for AI-assisted ultrasound.

Keywords: Artificial intelligence, ultrasound, deep learning, standardization, data security, interdisciplinary.

Graphical Abstract

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