The Lead Episode 119: A Discussion of Near-Term Prediction of Sustained Ventricular Arrhythmias Applying Artificial Intelligence to Single-Lead Ambulatory Electrocardiogram LIVE at HRX
Description
Please join Digital Education Committee Vice-Chair, Tina Baykaner, MD, MPH, of Stanford University, as she is joined by Heart Rhythm Society President Mina K. Chung, MD, FHRS, of the Cleveland Clinic, and Konstantinos C. Siontis, MD, FHRS of the May Clinic. The three met up in Altanta at HRX 2025 for this stimulating coversation.

This study evaluated whether artificial intelligence applied to single-lead ambulatory ECGs could predict imminent sustained ventricular arrhythmias. Using deep learning models, the researchers demonstrated that AI could identify subtle ECG features preceding arrhythmic events, enabling accurate short-term risk prediction. The findings suggest a potential role for AI-enhanced ECG monitoring to improve early detection and prevention of life-threatening ventricular arrhythmias.
Learning Objectives
  • Predict lethal ventricular arrhythmias, leveraging AI to prevent SCD.
Article Authors and Podcast Contributors
Article Authors

Laurent Fiorina ∙ Tanner Carbonati∙ Kumar Narayanan ∙ Jia Li ∙ Christine Henry ∙ Jagmeet Singh ∙ Eloi Marijon

Podcast Contributors


Tina Baykaner, MD, MPH | Stanford University
Mina K. Chung, MD, FHRS | Cleveland Clinic
Konstantinos C. Siontis, MD, FHRS | Mayo Clinic

Faculty and Disclosures
All relevant financial relationships have been mitigated.

Host Disclosure(s):

T. Baykaner:  

•Honoraria/Speaking/Consulting: Volta Medical, Medtronic, Pacemate, Johnson and Johnson, Abbot Medical, Boston Scientific
Research: NIH



Contributor Disclosure(s):
 

 
M. Chung:

•Honoraria/Speaking/Consulting: University of Chicago, Cedars Sinai Medical Center, Asia Pacific Heart Rhythm Society, NIH, Baylor College of Medicine, Kansas City Heart Rhythm Symposium, American College of Cardiology, Geisinger Health Systems, ABIM, Academy for Continued Healthcare Learning, MediasphereMedical, Western AF Symposium, University of Minnesota, Stanford University, Canadian Heart Rhythm Society
•Research: NIH, American Heart Association
•Royalty Income: Elsevier, Wolters Kluver
•Officer: American Heart Association

K. Siontis:

•Research: Anumana, Varian Medical Systems
•Intellectual Property Right: Anumana
•Speaking/Teaching/Consulting: EBAMedSA, AskBio

Staff Disclosure(s) (note: HRS staff are NOT in control of educational content. Disclosures are provided solely for full transparency to the learner):

S. Sailor: No relevant financial relationships with ineligible companies to disclose.
S. Colbert: No relevant financial relationships with ineligible companies to disclose.
Summary
Availability:
On-Demand
Cost:
FREE
Credit Offered:
No Credit Offered