Digital profile of children’s hearts: automated echocardiogram strain analysis facilitates earlier detection of cardiac dysfunction

Leveraging a large-scale paediatric dataset, Motion-Echo provided a reliable and generalizable framework for myocardial strain analysis, demonstrating potential to facilitate earlier detection of cardiac dysfunction and generate digital cardiac function profiles of children.

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Publication Details

Journal
European Heart Journal
Published
2025-11-05
DOI
https://doi.org/10.1093/eurheartj/ehaf952
Citations
1
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
1.39
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Digital profile of children’s hearts: automated echocardiogram strain analysis facilitates earlier detection of cardiac dysfunction

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Digital profile of children’s hearts: automated echocardiogram strain analysis facilitates earlier detection of cardiac dysfunction

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article en
1 citations

Abstract

Leveraging a large-scale paediatric dataset, Motion-Echo provided a reliable and generalizable framework for myocardial strain analysis, demonstrating potential to facilitate earlier detection of cardiac dysfunction and generate digital cardiac function profiles of children.

European Heart Journal
Shanghai Jiao Tong University (CN), Sichuan University (CN), West China Second University Hospital of Sichuan University (CN), West China Hospital of Sichuan University (CN), Beijing Academy of Artificial Intelligence (CN), Beijing Anding Hospital (CN), National Clinical Research (US)
Openalex Percentile: Top 13%
Cardiovascular Function and Risk Factors
1.39
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