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
- end stage renal disease
- high throughput
- primary care
- healthcare
- heart failure
- newly diagnosed
- chronic kidney disease
- prognostic factors
- acute myocardial infarction
- mitral valve
- peritoneal dialysis
- protein kinase
- quality improvement
- single cell
- cardiac resynchronization therapy
- clinical evaluation