Artificial intelligence-augmented electrocardiography for left ventricular systolic dysfunction in patients undergoing high-sensitivity cardiac troponin T.
Laura De MichieliJonathan D KnottItzhak Zachi AttiaOlatunde OlaRamila A MehtaAshok AkulaDavid O HodgeRajiv GulatiM P H Paul A FriedmanAllan S JaffeYader SandovalPublished in: European heart journal. Acute cardiovascular care (2023)
Among ED patients evaluated with hs-cTnT, a positive AI-ECG for LVSD identifies patients at high risk for MACE. The conjoint use of hs-cTnT and AI-ECG facilitates risk stratification.
Keyphrases
- artificial intelligence
- end stage renal disease
- left ventricular
- ejection fraction
- patients undergoing
- newly diagnosed
- machine learning
- chronic kidney disease
- emergency department
- peritoneal dialysis
- blood pressure
- heart rate
- deep learning
- heart rate variability
- oxidative stress
- acute myocardial infarction
- mitral valve
- genome wide
- aortic valve