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This paper is in the following e-collection/theme issue:

Artificial Intelligence (4706) Clinical Information and Decision Making (3662) Decision Support for Health Professionals (2207) Cardiac Arrhythmia, Atrial Fibrillation (141) Precision Medicine (434) Applications of AI (930)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/90502, first published .
Doctor interacting with futuristic medical display showing brain and heart scans.

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

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

Authors of this article:

Eva Soler Espejo1, 2 Author Orcid Image ;   Yang Chen2 Author Orcid Image ;   María Pilar Ramos-Bratos3, 4 Author Orcid Image ;   Sandra Ortega-Martorell4 Author Orcid Image ;   Iván Olier4 Author Orcid Image ;   José Miguel Rivera-Caravaca2, 5 Author Orcid Image ;   Francisco Marín3 Author Orcid Image ;   Vanessa Roldán1 Author Orcid Image ;   Gregory Y.H. Lip2, 6, 7 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Eva Soler Espejo   1, 2 * , MD, PhD ;   Yang Chen   2 * , MD ;   María Pilar Ramos-Bratos   3, 4 , MSc ;   Sandra Ortega-Martorell   4 , PhD ;   Iván Olier   4 , PhD ;   José Miguel Rivera-Caravaca   2, 5 , PhD ;   Francisco Marín   3 , MD, PhD ;   Vanessa Roldán   1 , MD, PhD ;   Gregory Y.H. Lip   2, 6, 7 , MD

1 Department of Hematology, Hospital Clínico Universitario Virgen de la Arrixaca, University of Murcia, Instituto Murciano de Investigación Biosanitaria Pascual Parrilla (IMIB), El Palmar, Murcia, Spain

2 Liverpool Centre of Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, England, United Kingdom

3 Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, University of Murcia, Instituto Murciano de Investigación Biosanitaria Pascual Parrilla (IMIB), CIBERCV, El Palmar, Murcia, Spain

4 Artificial Intelligence and Digital Technologies Research Institute, Liverpool John Moores University, Liverpool, England, United Kingdom

5 Faculty of Nursing, University of Murcia, Instituto Murciano de Investigación Biosanitaria Pascual Parrilla (IMIB), CIBERCV, Murcia, Spain

6 Department of Clinical Medicine, Aalborg University, Aalborg, North Denmark, Denmark

7 University of Białystok, Białystok, Podlasie, Poland

*these authors contributed equally

Corresponding Author:

  • Vanessa Roldán, MD, PhD
  • Department of Hematology
  • Hospital Clínico Universitario Virgen de la Arrixaca, University of Murcia, Instituto Murciano de Investigación Biosanitaria Pascual Parrilla (IMIB)
  • Ctra Madrid-Cartagena, s/n
  • El Palmar, Murcia 30120
  • Spain
  • Phone: 34 968369532
  • Email: vroldans@um.es