Smarter Alerts, Smaller Patients: AI‐Enhanced Implantable Loop Recorder Monitoring in Children.
This article evaluates Medtronic's AccuRhythm system, integrated with the LINQ II implantable loop recorder, for reducing atrial fibrillation and pause alerts in a pediatric cohort. In a study of 45 children, AccuRhythm decreased pause alerts by 75% and atrial fibrillation alerts by 11%, potentially...
| Publicado en: | Journal of Cardiovascular Electrophysiology Vol. 37; no. 8; pp. 1877 - 1879 |
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| Autor principal: | |
| Formato: | commentary editorial Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | This article evaluates Medtronic's AccuRhythm system, integrated with the LINQ II implantable loop recorder, for reducing atrial fibrillation and pause alerts in a pediatric cohort. In a study of 45 children, AccuRhythm decreased pause alerts by 75% and atrial fibrillation alerts by 11%, potentially saving 58 clinic hours annually. The system combines an on-device rule-based algorithm (TruRhythm) with a cloud-based deep-learning model (AccuRhythm) to optimize alert accuracy and workflow efficiency. The article highlights the need for further validation of false positive and false negative rates, especially in pediatric populations where adult-developed algorithms may underperform. This research underscores the growing role of artificial intelligence in clinical electrophysiology to streamline monitoring without replacing core clinical judgment. |
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