Interdisciplinary Collaboration Opportunities, Challenges, and Solutions for Artificial Intelligence in Ultrasound-Reference-Cited by-同舟云学术

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

Published:2022-09 Issue:10 Volume:18 Page:1046-1051
ISSN:1573-4056
Container-title:Current Medical Imaging Formerly Current Medical Imaging Reviews
language:en
Short-container-title:CMIR

Author:

Chen Zhiyi¹²,Xia Qingrong¹²,Du Meng¹²,Li Bin¹²,Hou Likang¹²

Affiliation:

1. The First Affiliated Hospital, Medical Imaging Centre, Hengyang Medical School, University of South China, Hengyang, China

2. Institute of Medical Imaging, University of South China, Hengyang, China

Abstract

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.

Funder

Clinical Research 4310 Program of the First Affiliated Hospital of The University of South China

Publisher

Bentham Science Publishers Ltd.

Subject

Radiology, Nuclear Medicine and imaging

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