DiscoverThe Lead Podcast presented by Heart Rhythm SocietyThe Lead Episode 119: A Discussion of Near-Term Prediction of Sustained Ventricular Arrhythmias Applying AI to Single-Lead Ambulatory Electrocardiogram LIVE at HRX
The Lead Episode 119: A Discussion of Near-Term Prediction of Sustained Ventricular Arrhythmias Applying AI to Single-Lead Ambulatory Electrocardiogram LIVE at HRX

The Lead Episode 119: A Discussion of Near-Term Prediction of Sustained Ventricular Arrhythmias Applying AI to Single-Lead Ambulatory Electrocardiogram LIVE at HRX

Update: 2025-09-18
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Please join HRS 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.

To view bonus video recorded LIVE at HRX 2025 in Atlanta, view this episode on Heart Rhythm 365 or the HRX Innovation Hub!

Article Authors

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

Read the Article: https://www.heartrhythmjournal.com/article/S1547-5271(23)02195-1/fulltext


Podcast Contributors and Disclosures


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

All relevant financial relationships have been mitigated.

T. Baykaner:  

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

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

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The Lead Episode 119: A Discussion of Near-Term Prediction of Sustained Ventricular Arrhythmias Applying AI to Single-Lead Ambulatory Electrocardiogram LIVE at HRX

The Lead Episode 119: A Discussion of Near-Term Prediction of Sustained Ventricular Arrhythmias Applying AI to Single-Lead Ambulatory Electrocardiogram LIVE at HRX

Heart Rhythm Society