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
- machine learning
- healthcare
- palliative care
- young adults
- heart failure
- high throughput
- artificial intelligence
- big data
- heart rate
- acute myocardial infarction
- convolutional neural network
- quality improvement
- heart rate variability
- mitral valve
- pain management
- blood pressure
- cardiac resynchronization therapy
- atrial fibrillation
- chronic pain
- aortic valve