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Home > JACC Podcast > Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease
Podcast: JACC Podcast
Episode:

Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease
Category: Health
Duration: 00:11:27
Publish Date: 2024-08-19 14:00:00
Description:

Dr. Valentin Fuster evaluates a deep learning model designed to predict left and right ventricular dysfunction and dilation in congenital heart disease patients using ECG and CMR data. The research demonstrated that AI ECG can reliably identify significant cardiovascular issues, though future work should focus on refining thresholds and validating the model across diverse populations and healthcare settings.
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