Applications of artificial intelligence and machine learning approaches in echocardiography

被引：15

作者：

Nabi, Wafa ^{[1
]}

Bansal, Agam ^{[2
]}

Xu, Bo ^{[3
]}

机构：

[1] Case Western Reserve Univ, Sch Med, Cleveland, OH USA

[2] Cleveland Clin Fdn, Dept Internal Med, 9500 Euclid Ave, Cleveland, OH 44195 USA

[3] Cleveland Clin, Robert & Suzanne Tomsich Dept Cardiovasc Med, Sydell & Arnold Miller Family Heart Vasc & Thorac, Sect Cardiovasc Imaging, 9500 Euclid Ave, Cleveland, OH 44195 USA

来源：

ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES | 2021年 / 38卷 / 06期

关键词：

artificial intelligence; automation; cardiovascular imaging; echocardiography; machine learning; precision medicine; AORTIC REGURGITATION; HEART-FAILURE; QUANTIFICATION;

D O I：

10.1111/echo.15048

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Artificial intelligence and machine learning approaches have become increasingly applied in the field of echocardiography to streamline diagnostic and prognostic assessments, and to support treatment decisions. Artificial intelligence and machine learning have been applied to aid image acquisition and automation. They have also been applied to the integration of clinical and imaging data. Applications of artificial intelligence and machine learning approaches in echocardiography in conjunction with health information databases may be promising in improving the classification and treatment of many cardiac conditions. This review article provides an overview of the applications of artificial intelligence and machine learning approaches in echocardiography.

引用

页码：982 / 992

页数：11

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