Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling.
Joshua MayourianWilliam G La CavaAkhil VaidGirish Nitin NadkarniSunil J GhelaniRebekah C MannixTal GevaAudrey DionneMark E AlexanderSon Q DuongJohn K TriedmanPublished in: Circulation (2024)
This externally validated algorithm shows promise to inexpensively screen for LV dysfunction and remodeling in children, which may facilitate improved access to care by democratizing the expertise of pediatric cardiologists.
Keyphrases
- deep learning
- left ventricular
- oxidative stress
- healthcare
- machine learning
- palliative care
- young adults
- artificial intelligence
- convolutional neural network
- high throughput
- big data
- acute myocardial infarction
- heart rate
- heart rate variability
- pain management
- hypertrophic cardiomyopathy
- blood pressure
- chronic pain
- left atrial
- percutaneous coronary intervention
- atrial fibrillation
- neural network
- single cell