超声波
医学物理学
临床实习
计算机科学
超声成像
人工智能
医学
放射科
家庭医学
作者
Zhiyi Chen,Qingrong Xia,Meng Du,Bin Li,Likang Hou
出处
期刊:Current Medical Imaging Reviews
[Bentham Science]
日期:2022-03-22
卷期号:18 (10): 1046-1051
被引量:2
标识
DOI:10.2174/1573405618666220321123126
摘要
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.
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