Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHD | JACC
JACC This Week · American College of Cardiology
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Show Notes
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.