Artificial intelligence based left ventricular ejection fraction and global longitudinal strain in cardiac amyloidosis.
Juan I CotellaJeremy A SlivnickEmily SandersonCristiane SingulaneJamie O'DriscollFederico M AschKarima AddetiaGary WoodwardRoberto M LangPublished in: Echocardiography (Mount Kisco, N.Y.) (2023)
Fully automated AI-calculated LVEF and GLS are comparable to manual measurements in patients pre-CA and at the time of CA diagnosis. The widespread implementation of automated LVEF and GLS may allow for more rapid assessment in different disease states with comparable accuracy and reproducibility to manual methods.
Keyphrases
- ejection fraction
- artificial intelligence
- aortic stenosis
- machine learning
- deep learning
- left ventricular
- big data
- high throughput
- end stage renal disease
- heart failure
- healthcare
- newly diagnosed
- primary care
- patient reported outcomes
- cross sectional
- prognostic factors
- coronary artery disease
- mitral valve
- transcatheter aortic valve replacement
- hypertrophic cardiomyopathy
- percutaneous coronary intervention
- single cell
- atrial fibrillation