Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients-The SaMi-Trop cohort.
Bruno Oliveira de Figueiredo BritoZachi I AttiaLarissa Natany A MartinsPablo PerelMaria Carmo P NunesEster Cerdeira SabinoClareci Silva CardosoAriela Ferreira MotaPaulo Rodrigues GomesAntonio Luiz Pinho RibeiroFrancisco Lopez-JimenezPublished in: PLoS neglected tropical diseases (2021)
The AI analysis of the ECG of Chagas disease patients can be transformed into a powerful tool for the recognition of LVSD.
Keyphrases
- artificial intelligence
- end stage renal disease
- left ventricular
- ejection fraction
- newly diagnosed
- chronic kidney disease
- machine learning
- heart failure
- big data
- prognostic factors
- peritoneal dialysis
- deep learning
- oxidative stress
- heart rate
- mitral valve
- heart rate variability
- transcatheter aortic valve replacement
- hypertrophic cardiomyopathy
- cardiac resynchronization therapy