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Multiethnic Validation of Artificial Intelligence-Enhanced Electrocardiographic Image Analysis in Detecting Cardiac Structural and Functional Abnormalities: A UK Biobank Study

2025-07-10

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Although artificial intelligence–enhanced electrocardiography (AI-ECG) has shown promise in detecting cardiac abnormalities, large-scale validation against cardiac magnetic resonance (CMR) parameters in a multiethnic general population remains limited. <h4>Methods</h4> In 38,804 UK Biobank participants with paired ECG and CMR data, we evaluated six AI-ECG models: four targe...

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Literature Corpus work
6bda0b98-e197-5127-aa76-0b5f5e750ad7
DOI
10.1101/2025.07.08.25331159
Open publication

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Multiethnic Validation of Artificial Intelligence-Enhanced Electrocardiographic Image Analysis in Detecting Cardiac Structural and Functional Abnormalities: A UK Biobank StudyDOI 10.1101/2025.07.08.25331159
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