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Article

Unsupervised phenotype clustering of non-ischemic dilated cardiomyopathy with AI-assisted T1 mapping cardiac MR

2026-07-14

Abstract excerpt

<h4>Aims</h4> Prognostic stratification and individual management are essential in the heterogeneous population of non-ischemic dilated cardiomyopathy (NIDCM). We applied unsupervised machine learning (ML) clustering in NIDCM cohorts, using semi-automated artificial intelligence (AI)-based cardiac magnetic resonance imaging (CMR) measurements with multimodal data to identify distinct phenotypes, characterize echo...

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Literature Corpus work
df807e9f-bd09-5d53-b33f-5f44de5a2c3e
DOI
10.64898/2026.07.10.26357725
Open publication

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Unsupervised phenotype clustering of non-ischemic dilated cardiomyopathy with AI-assisted T1 mapping cardiac MRDOI 10.64898/2026.07.10.26357725
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