Oct 15
13m 50s
Description:
In this episode of The Lead, host Lisa Roelle, PAC, 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.
Learning Objectives:
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
Faculty Disclosures:
All relevant financial relationships have been mitigated.
Host and Contributor Disclosure(s):
L. Roelle
J. Triedman
M. C. Gonzalez Corcia