Artificial intelligence augments detection accuracy of cardiac insertable cardiac monitors: Results from a pilot prospective observational study.

Fabio Quartieri¹, Manuel Marina-Breysse^2,3,4, Annalisa Pollastrelli⁵, Isabella Paini¹, Carlos Lizcano², José María Lillo-Castellano^2,3,6, Andrea Grammatico⁵

¹Department of Cardiology, Azienda Ospedaliera S. Maria Nuova, Reggio Emilia, Italy.

²IDOVEN Research, AI Team, Madrid, Spain.

³Advanced Development in Arrhythmia Mechanisms and Therapy Laboratory, Myocardial Pathophysiology Area, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.

⁴Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.

⁵EMEA CRM Medical Affairs, Abbott, Rome, Italy.

⁶Fundación Interhospitalaria para la Investigación Cardiovascular (FIC), Madrid, Spain.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Insertable cardiac monitors (ICMs) are indicated for long-term monitoring of patients with unexplained syncope or who are at risk for cardiac arrhythmias. The volume of ICM-transmitted information may result in long data review times to identify true and clinically relevant arrhythmias. OBJECTIVE: The purpose of this study was to evaluate whether artificial intelligence (AI) may impro…

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