Want to create an interactive transcript for this episode?
Podcast: The Lead Podcast presented by Heart Rhythm Society
Episode: The Lead Podcast - Episode 67
Description: Deepthy Varghese, MSN, ACNP, FNP, Northside Hospital is joined by Tina Baykaner, MD, MPH Stanford University, and Gurukripa N Kowlgi, MBBS, MSci,  Mayo Clinic–Rochester to discuss; the multicenter study investigated the potential of machine learning (ML) models to improve risk stratification for implantable cardioverter-defibrillator (ICD) implantation in patients at risk of sudden cardiac death (SCD). By combining clinical variables with 12-lead electrocardiogram (ECG) time-series features, the models aimed to predict non-arrhythmic mortality within three years after device implantation. Results showed that ML models identified patients at risk with high accuracy, demonstrating robust performance in both the development and ext...