Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHD | JACC

In this episode, Dr. Valentin Fuster discusses a groundbreaking study that leverages artificial intelligence for early detection and risk stratification of structural heart diseases (SHD) using electrocardiographic images. The study, led by Dr. Lovdeep Dingre and Dr. Rohan Khera from Yale School of Medicine, presents an ensemble deep learning model that accurately identifies multiple SHD conditions, demonstrating high sensitivity and potential for transforming cardiac care through early, accessible screening.

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Each week, Valentin Fuster, MD, PhD, MACC, records free podcasts highlighting journal findings. To keep clinicians updated on the most important science emerging in clinical and translational cardiology, Dr. Fuster provides an overview of the weekly edition from the Journal of the American College of Cardiology (JACC), as well as a short summary of each manuscript. Encompassing JACC and nine cardiovascular specialty journals, the JACC family of journals rank among the top cardiovascular peer-reviewed journals in the world for scientific impact.