Listen "Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease"
Episode Synopsis
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.
More episodes of the podcast JACC This Week
December 2, 2025: Global CVD 1990–2023: Trends, Risks, and the Road Ahead | JACC This Week
24/11/2025
November 18, 2025: Adiposity, Heart Failure, and the Future of Cardiometabolic Care | JACC This Week
10/11/2025
November 11, 2025: Precision, Place, and the Future of Cardiovascular Prediction | JACC This Week
03/11/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.