Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images.
Veer SanghaArash A NargesiLovedeep Singh DhingraAkshay KhunteBobak J MortazaviAntonio Luiz P RibeiroEvgeniya BaninaOluwaseun AdeolaNadish GargCynthia A BrandtRobert J H MillerAntonio Luiz Pinho RibeiroEric J VelazquezLuana GiattiSandhi Maria BarretoMurilo FoppaNeal YuanDavid OuyangHarlan M KrumholzRohan KheraPublished in: Circulation (2023)
We developed and externally validated a deep learning model that identifies LV systolic dysfunction from ECG images. This approach represents an automated and accessible screening strategy for LV systolic dysfunction, particularly in low-resource settings.
Keyphrases
- left ventricular
- deep learning
- heart failure
- blood pressure
- convolutional neural network
- hypertrophic cardiomyopathy
- oxidative stress
- cardiac resynchronization therapy
- acute myocardial infarction
- left atrial
- mitral valve
- aortic stenosis
- artificial intelligence
- machine learning
- heart rate
- loop mediated isothermal amplification
- percutaneous coronary intervention
- label free