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人工智能在超声心动图中的应用。

Artificial Intelligence in Echocardiography.

机构信息

Center for Women's Heart and Vascular Health, Texas Heart Institute, Houston, Texas.

出版信息

Tex Heart Inst J. 2022 Mar 1;49(2). doi: 10.14503/THIJ-21-7671.

DOI:10.14503/THIJ-21-7671
PMID:35481864
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9053659/
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.

摘要

人工智能在诊断心脏成像平台上的发展迅速。特别是,人工智能算法提高了超声心动图心血管成像的效率和准确性,导致更复杂的超声心动图成像技术和在非心脏病专家中的广泛应用。在这里,我们提供了人工智能在超声心动图中的实际应用概述,包括自动高质量的计算机优化图像采集序列、自动测量以及快速准确解释心脏生理学的算法。这些进展不会取代医生,但将提高他们的工作效率、工作流程和诊断性能。

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本文引用的文献

1
Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use.深度学习算法在指导新手获取有限诊断用途的超声心动图中的应用。
JAMA Cardiol. 2021 Jun 1;6(6):624-632. doi: 10.1001/jamacardio.2021.0185.
2
Artificial intelligence and cardiovascular imaging: A win-win combination.人工智能与心血管成像:双赢组合。
Anatol J Cardiol. 2020 Oct;24(4):214-223. doi: 10.14744/AnatolJCardiol.2020.94491.
3
Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers.人工智能与超声心动图:心脏超声医师入门指南。
J Am Soc Echocardiogr. 2020 Sep;33(9):1061-1066. doi: 10.1016/j.echo.2020.04.025. Epub 2020 Jun 11.
4
Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms.利用人工智能增强严重主动脉瓣狭窄的诊断:一项对530,871份超声心动图的概念验证研究
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Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert.使用机器学习算法模拟人类专家,实现无需容积测量的左心室射血分数自动化超声心动图定量分析。
Circ Cardiovasc Imaging. 2019 Sep;12(9):e009303. doi: 10.1161/CIRCIMAGING.119.009303. Epub 2019 Sep 16.
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Artificial Intelligence for the Measurement of the Aortic Valve Annulus.人工智能在主动脉瓣环测量中的应用。
J Cardiothorac Vasc Anesth. 2020 Jan;34(1):65-71. doi: 10.1053/j.jvca.2019.06.017. Epub 2019 Jun 17.
7
Fast and accurate view classification of echocardiograms using deep learning.使用深度学习对超声心动图进行快速准确的视图分类。
NPJ Digit Med. 2018;1. doi: 10.1038/s41746-017-0013-1. Epub 2018 Mar 21.
8
The practical implementation of artificial intelligence technologies in medicine.人工智能技术在医学中的实际应用。
Nat Med. 2019 Jan;25(1):30-36. doi: 10.1038/s41591-018-0307-0. Epub 2019 Jan 7.
9
Artificial intelligence and echocardiography.人工智能与超声心动图
Echo Res Pract. 2018 Dec 1;5(4):R115-R125. doi: 10.1530/ERP-18-0056.
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Fully Automated Echocardiogram Interpretation in Clinical Practice.临床实践中的全自动超声心动图解读。
Circulation. 2018 Oct 16;138(16):1623-1635. doi: 10.1161/CIRCULATIONAHA.118.034338.