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
- heart failure
- young adults
- artificial intelligence
- high throughput
- acute myocardial infarction
- big data
- heart rate
- quality improvement
- convolutional neural network
- mitral valve
- left atrial
- atrial fibrillation
- acute coronary syndrome
- single cell