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Article

AI-Based Phenotyping of Atrial Fibrillation Through Generative Topographic Mapping: Prospective Murcia Atrial Fibrillation Project III Cohort Study.

Journal of medical Internet research - 6 Aug 2026

Soler Espejo Eva, Chen Yang, Ramos-Bratos María Pilar, Ortega-Martorell Sandra, Olier Iván, Rivera-Caravaca José Miguel, Marín Francisco, Roldán Vanessa, Lip Gregory Y H

Abstract excerpt

BACKGROUND: The clinical heterogeneity of atrial fibrillation (AF) challenges current classifications and risk scores, limiting their real-world applicability. AI-driven methods may enhance phenotyping and risk stratification. OBJECTIVE: This study aimed to apply a generative topographic mapping (GTM)-based clustering approach to a large, real-world, prospective AF cohort to identify clinically relevant...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 42562389
DOI: 10.2196/90502
PMCID: PMC13494521

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

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