Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling
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Research is being conducted on the use of deep learning and artificial intelligence to analyze electrocardiogram (ecg) data in pediatric patients. The goal of this research appears to be the prediction and diagnosis of various heart conditions, including left ventricular dysfunction and remodeling. Studies are exploring the application of ai-enabled ecg analysis in different areas, such as sports cardiology and congenital heart disease, with some focusing on the development of specific architectures and models for arrhythmia detection and outcome prediction.
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