Application status and development trend of artificial intelligence in myocardial contrast echocardiography

LI Mingqi; FEI Hongwen

doi:10.16245/j.cnki.issn1008-6978.2020.07.018

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Application status and development trend of artificial intelligence in myocardial contrast echocardiography

更新时间：2021-10-13

- Application status and development trend of artificial intelligence in myocardial contrast echocardiography
- Journal of Clinical Ultrasound in Medicine Vol. 22, Issue 7, Pages: 526-528(2020)
- 作者机构：
  
  1. 汕头大学医学院
  2. 广东省人民医院广东省医学科学院成人心脏超声室
- 作者简介：
- 基金信息：
- DOI：10.16245/j.cnki.issn1008-6978.2020.07.018
  CLC： TP18;R445.1;R542.2
- Published：2020，
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[1]李明奇,费洪文.人工智能在心肌声学造影中的应用现状及发展趋势[J].临床超声医学杂志,2020,22(07):526-528.

LI Mingqi, FEI Hongwen. Application status and development trend of artificial intelligence in myocardial contrast echocardiography. [J]. Journal of Clinical Ultrasound in Medicine 22(7):526-528(2020)
[1]李明奇,费洪文.人工智能在心肌声学造影中的应用现状及发展趋势[J].临床超声医学杂志,2020,22(07):526-528. DOI： 10.16245/j.cnki.issn1008-6978.2020.07.018.

LI Mingqi, FEI Hongwen. Application status and development trend of artificial intelligence in myocardial contrast echocardiography. [J]. Journal of Clinical Ultrasound in Medicine 22(7):526-528(2020) DOI： 10.16245/j.cnki.issn1008-6978.2020.07.018.

摘要

心肌声学造影（MCE）作为一种检测心肌缺血的便捷检查方式

近年在临床逐渐推广应用

但MCE专业性强

学习时间成本高

无法在所有医院广泛开展。若能将人工智能应用于MCE

简化操作步骤

甚至实现自动化诊断

将大大降低学习成本

缩短学习时间

减少超声医师工作负荷。本文就人工智能在MCE心肌轮廓描记中的应用现状及其发展趋势进行综述。

Abstract

Myocardial contrast echocardiography（MCE）

as a quick and convenient method to detect myocardial ischemia

has been gradually developed in clinic in recent years.However

MCE cannot be widely carried out in all hospitals due to its professional and cost a lot of time.If artificial intelligence can be applied to MCE

simplify the operation steps and even realize automatic diagnosis

it will greatly reduce the learning cost

shorten the learning time and reduce the workload of sonographers.This paper reviews the application status and development trend of artificial intelligence in MCE.

关键词

心肌声学造影人工智能深度学习

Keywords

Myocardial contrast echocardiographyArtificial intelligenceDeep learning

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