In this episode of The Lead, host Lisa Roelle, PA-C, Washington University in St. Louis, is joined by M. Cecilia Gonzalez Corcia, MD, MDCM, PhD, CEPS-P, Sainte-Justine, and John K. Triedman, MD, FHRS, Children's Hospital Boston, Cardiology, to discuss “Artificial Intelligence-Enhanced Implantable Loop Recorders in Pediatric Patients: Effects on Device Performance and Clinical Workflow in a Single-Center Experience.” The panel examines the potential for AI-based filtering to reduce nonactionable alerts and clinical workload associated with remote monitoring while considering pediatric-specific physiology, the limitations of extrapolating from adult data, and the need to preserve diagnostic sensitivity and clinical judgment when incorporating these technologies into pediatric electrophysiology practice.
Describe the effects of AI-based filtering on nonactionable alerts and clinical workflow in pediatric patients with implantable loop recorders.
Evaluate pediatric-specific physiologic and clinical factors that may influence the performance of AI-based arrhythmia detection algorithms.
Assess the benefits and limitations of incorporating AI-enhanced remote monitoring into pediatric electrophysiology practice while maintaining diagnostic sensitivity and appropriate clinical oversight.
Host: Lisa Roelle, PA-C
Guests: John K. Triedman, MD, FHRS and M. Cecilia Gonzalez Corcia, MD, MDCM, PhD, CEPS-P
J. Triedman
M. C. Gonzalez Corcia
Staff Disclosure(s) (note: HRS staff are NOT in control of educational content. Disclosures are provided solely for full transparency to the learner):