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

e-Cardiology and Telemonitoring in Cardiology (286) New Methods (1798) Cardiology (284) Machine Learning (3191) Artificial Intelligence (4806)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85841, first published .
Laptop screen displaying AI for predicting atrial fibrillation episodes in pacemaker patients.

Short-Term Arrhythmia Prediction Using AI Based on Daily Data From Implantable Devices: Multicenter Prospective Observational Study

Short-Term Arrhythmia Prediction Using AI Based on Daily Data From Implantable Devices: Multicenter Prospective Observational Study

Authors of this article:

Ignacio Fernández Lozano1 Author Orcid Image ;   Joaquín Fernández de la Concha2 Author Orcid Image ;   Javier Ramos Maqueda3, 4 Author Orcid Image ;   Nicasio Pérez Castellano5 Author Orcid Image ;   Rafael Salguero Bodes6 Author Orcid Image ;   F Javier García-Fernández7 Author Orcid Image ;   Juan Benezet Mazuecos8 Author Orcid Image ;   Javier Jiménez Candil9 Author Orcid Image ;   Tomás Datino10 Author Orcid Image ;   Sem Briongos Figuero11 Author Orcid Image ;   Javier Paniagua Olmedillas12 Author Orcid Image ;   Miguel Nicolás Font de la Fuente13 Author Orcid Image ;   Juan López-Dóriga Costales13 Author Orcid Image ;   Sarai Paz Fernández13 Author Orcid Image ;   Vicente Copoví Lucas14 Author Orcid Image
Article Authors Cited by (1) Tweetations (6) Metrics

Journals

  1. Osoro L, Arbelo E, Lane D, Mei D, Kozhuharov N, Zylla M, Collins B, Vardas P, Boriani G, Figueras J, Merino J, Pürerfellner H, Burri H, Casado-Arroyo R. From Algorithm Development to Clinical Implementation: A Systematic Review of Artificial Intelligence in Cardiovascular Medicine. Technologies 2026;14(8):511 View