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

Podcasts
The Lead Episode 109: A Discussion of Survival Outcomes after Sudden Cardiac Arrest in Young Competitive Athletes from the United States, LIVE from Heart Rhythm 2025 in San Diego
June 26, 2025

Podcasts
The Lead Episode 108: A Discussion of Left Bundle Branch Area Pacing Compared to Biventricular Pacing in Candidates for Cardiac Resynchronization Therapy (LVEF <50%): Results from International Collaborative LBBAP Study (I-CLAS)
June 20, 2025

Podcasts
The Lead Episode 107: A Discussion of Catheter Ablation of AFib Patients with Cardiac Amyloidosis and Sarcoidosis:
June 12, 2025