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Article

Unsupervised phenotypic clustering of cardiac MRI data reveals distinct subgroups associated with outcomes in ischemic cardiomyopathy.

The international journal of cardiovascular imaging - 1 Feb 2026

Nucifora Gaetano, Muser Daniele, Bradley Joshua, Tsoumani Zoi, De Angelis Giulia, Caiffa Thomas, Schmitt Matthias, Sinagra Gianfranco, Miller Chris

Abstract excerpt

Ischemic cardiomyopathy (ICM) shows significant heterogeneity in clinical outcomes, challenging traditional risk stratification methods. Cardiac magnetic resonance (CMR) imaging offers detailed insights into myocardial structure and function, yet integrating this multidimensional data remains complex. Aim of the current study was to assess whether unsupervised machine learning could help identify distinct...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 41129087
DOI: 10.1007/s10554-025-03541-4
PMCID: PMC12909309

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

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