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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.
By American College of Cardiology4.2
162162 ratings
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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