Artificial intelligence calculated global longitudinal strain and left ventricular ejection fraction predicts cardiac events and all-cause mortality in patients with chest pain.
Jamie M O'DriscollDomenico TuttolomondoNicola GaibazziPublished in: Echocardiography (Mount Kisco, N.Y.) (2023)
AI calculated resting LVEF and GLS is independently associated with MACE and all-cause mortality in high CVD risk patients. These results may have significant clinical implications through improved risk stratification of patients with chest pain, accelerated workflow of labour-intensive technical measures, and reduced healthcare costs.
Keyphrases
- ejection fraction
- artificial intelligence
- aortic stenosis
- left ventricular
- healthcare
- machine learning
- big data
- deep learning
- end stage renal disease
- chronic kidney disease
- heart failure
- newly diagnosed
- peritoneal dialysis
- prognostic factors
- mitral valve
- cardiac resynchronization therapy
- heart rate variability
- atrial fibrillation
- coronary artery disease
- blood pressure
- health insurance
- left atrial