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Article

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure.

Open heart - 26 Feb 2026

Qiu Xunhan, Ma Jun, Xu Li, Jiang Meng, Pu Jun

Abstract excerpt

BACKGROUND: Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current clinical practice lacks effective tools for early CRF risk stratification. METHODS: We conducted an artificial intelligence (AI)-driven unsupervised clustering analysis based on 15 multimodal clinical...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41748277
DOI: 10.1136/openhrt-2025-003530
PMCID: PMC12959168

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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