Discussion Topic: A Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular Complexes
Jason T. Jacobson, MD, FHRS, of Westchester Med Center-New York Med College discusses A Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular Complexes with Daniel Frenkel, MD, FHRS, of Westchester Medical Center, and Jagmeet P. Singh, MD, PhD, FHRS, of Massachusetts General Hospital. This study utilized a machine learning algoritihm to predict the devlopment of cardiomyopathy in patients with PVCs based on the baseline ECG.
Host: Jason T. Jacobson, MD, FHRS
Guests: Daniel Frenkel, MD, FHRS and Jagmeet Singh, MD, PhD, FHRS
Speaker and Article Information: Download
Topic
- The Lead
Resource Type
- Podcasts
Related Resources
The Lead
Podcasts
The Lead Episode 138: A Discussion of A Discussion of Safety, Efficacy, and Mid-Term Outcomes of Pulsed Field Ablation for Cavotricuspid Isthmus–Dependent Flutter: Real-World Data From a Major Health System Registry
February 26, 2026
The Lead
Podcasts
The Lead Episode 137: A Discussion of Impact of Hospital VT Ablation Volume on Post-Procedural Complications
February 19, 2026
The Lead
Podcasts
The Lead Episode 136: A Discussion of Electrophysiological Characteristics of Lead Position Dependent Electrogram Uninterrupted Transition during Left Bundle Branch Pacing
February 12, 2026