Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis

被引：0
作者：
Jia Zhou
Meng Du
Shuai Chang
Zhiyi Chen
机构：
[1] The First Affiliated Hospital,
[2] Medical Imaging Centre,undefined
[3] Hengyang Medical School,undefined
[4] University of South China,undefined
[5] Institute of Medical Imaging,undefined
[6] University of South China,undefined
来源：
Cardiovascular Ultrasound | / 19卷
关键词：
Artificial intelligence (AI); Echocardiography; Segmentation; Functional evaluation; Normalization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Ultrasound is one of the most important examinations for clinical diagnosis of cardiovascular diseases. The speed of image movements driven by the frequency of the beating heart is faster than that of other organs. This particularity of echocardiography poses a challenge for sonographers to diagnose accurately. However, artificial intelligence for detection, functional evaluation, and disease diagnosis has gradually become an alternative for accurate diagnosis and treatment using echocardiography. This work discusses the current application of artificial intelligence in echocardiography technology, its limitations, and future development directions.
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[1]  
Kuehn BM(2020)Cardiac imaging on the cusp of an artificial intelligence revolution Circulation 141 1266-1267
[2]  
Hannun AY(2019)Cardiologist- level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network Nat Med 25 65-69
[3]  
Slomka PJ(2020)Application and translation of artificial intelligence to cardiovascular imaging in nuclear medicine and noncontrast CT Semin Nucl Med 50 357-366
[4]  
Miller RJ(2021)Machine learning: at the heart of failure diagnosis Curr Opin Cardiol 36 227-233
[5]  
Isgum I(2013)Mobile health technology evaluation: the health evidence workshop Am J Prev Med 45 228-236
[6]  
Dey D(1978)Fourier analysis of the echocardiogram Phys Med Biol 23 100-105
[7]  
Sanders WE(2018)Artificial intelligence and echocardiography Echo Res Pract 5 115-125
[8]  
Burton T(2018)Fully automated echocardiogram interpretation in clinical practice Circulation 138 1623-1635
[9]  
Khosousi A(2018)Artificial intelligence: a new clinical support tool for stress echocardiography Expert Rev Med Devices 15 513-515
[10]  
Kumar S(2018)Fast and accurate view classification of echocardiograms using deep learning NPJ Digital Med 1 6-2899
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