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Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center study

2024-03-15

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Point-of-care ultrasonography (POCUS) enables cardiac imaging at the bedside and in communities but is limited by abbreviated protocols and variation in quality. We developed and tested artificial intelligence (AI) models to automate the detection of underdiagnosed cardiomyopathies from cardiac POCUS. <h4>Methods</h4> In a development set of 290,245 transthoracic echocardiogra...

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Literature Corpus work
3f9952f7-4397-5db4-825d-43a4506e34d9
DOI
10.1101/2024.03.10.24304044
Open publication

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Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center studyDOI 10.1101/2024.03.10.24304044
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