Echocardiography-based AI detection of regional wall motion abnormalities and quantification of cardiac function in myocardial infarction

Echocardiography-based AI detection of regional wall motion abnormalities and quantification of cardiac function in myocardial infarction

ObjectiveTo compare the performance of a newly developed deep learning (DL) framework for automatic detection of regional wall motion abnormalities (RWMAs) for patients presenting with the suspicion of myocardial infarction from echocardiograms obtained with portable bedside equipment versus standar...

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Bibliographic Details
Main Authors: Xixiang Lin, Feifei Yang, Yixin Chen, Xiaotian Chen, Wenjun Wang, Xu Chen, Qiushuang Wang, Liwei Zhang, Huayuan Guo, Bohan Liu, Liheng Yu, Haitao Pu, Peifang Zhang, Zhenzhou Wu, Xin Li, Daniel Burkhoff, Kunlun He
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
artificial intelligence - AI
myocardial infarction
echocardiography
deep learning
bedside ultrasound
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.903660/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.903660/full

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