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. 2022 Mar 1;49(2):e217671.
doi: 10.14503/THIJ-21-7671.

Artificial Intelligence in Echocardiography

Stephanie A Coulter  1 , Karla Campos  1
Affiliations

Artificial Intelligence in Echocardiography

Stephanie A Coulter et al. Tex Heart Inst J. .

Abstract

Artificial intelligence in diagnostic cardiac-imaging platforms is advancing rapidly. In particular, artificial intelligence algorithms have increased the efficiency and accuracy of echocardiographic cardiovascular imaging, resulting in more complex echocardiographic imaging techniques and expanded use among noncardiologists. Here, we provide an overview of real-world applications of artificial intelligence in echocardiography including automatic high-quality computer-optimized image acquisition sequences, automated measurements, and algorithms for the rapid and accurate interpretation of cardiac physiology. These advances will not replace physicians but will improve their productivity, workflow, and diagnostic performance.

Keywords: Algorithms; artificial intelligence; cardiac imaging techniques/methods; deep learning; diagnosis, computer-assisted; echocardiography; image interpretation, computer-assisted; imaging, three-dimensional; investigative techniques.

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Conflict of interest statement

Conflict of interest disclosure: None

Figures

Fig. 1
Fig. 1
Three-dimensional echocardiograms, acquired with use of the GE Vivid T9 Ultra Edition System, show A) left and B) right ventricular volumes and ejection fraction. Supplemental motion images are available for Figures 1A and 1B.
Fig. 2
Fig. 2
Three-dimensional echocardiograms, acquired with use of the GE Vivid T9 Ultra Edition System, show the mitral valve before mitral valve clip placement. A) The system's artificial intelligence program automatically labels the mitral leaflet segments during systole, then B) planimetrically calculates the mitral valve area during diastole. Supplemental motion image is available for Figure 2.
See this image and copyright information in PMC

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