The Lead Episode 157: A Discussion of Predicting Sudden Cardiac Death in Patients With Sarcoidosis Using a Multimodal Artificial Intelligence Model

In this episode of The Lead, host Sandeep A. Saha, MD, MS, FHRS, is joined by Suraj Kapa, MD, FHRS, and Albert Joseph Rogers, BSE, MBA, MD, FHRS, to discuss the journal article, Predicting Sudden Cardiac Death in Patients With Sarcoidosis Using a Multimodal Artificial Intelligence Model. Together, they review the study's approach to using a multimodal artificial intelligence model to predict sudden cardiac death risk in patients with sarcoidosis and discuss the potential implications of these findings. Learning Objectives Review the methodology and key findings of a multimodal artificial intelligence model developed to predict sudden cardiac death in patients with sarcoidosis. Discuss the potential role of artificial intelligence–based risk prediction in the evaluation of patients with sarcoidosis. Examine the clinical implications of sudden cardiac death risk stratification in this patient population. Host: Sandeep A Saha, MD, MS, FHRS Guests: Suraj Kapa, MD, FHRS and Albert Joseph Rogers, BSE, MBA, MD, FHRS   Disclosures: Sandeep A Saha, MD, MS, FHRS •       Honoraria/Speaking/Consulting Fee/Speaker's Bureau: Medtronic, Inc.   Suraj Kapa, MD, FHRS •       Honoraria/Speaking/Consulting Fee: Abbott •       Stock Options: Nanowear Inc. •       Other Non-Financial Relationships: Biosense Webster, Inc., Boston Scientific   Albert Joseph Rogers, BSE, MBA, MD, FHRS •       Research: National Institutes of Heath, American Heart Association •       Ownership/Partnership: WearLinq, Inc. •       Honoraria/Speaking/Consulting Fee: Other