Real-world performance, long-term efficacy, and absence of bias in the artificial intelligence enhanced electrocardiogram to detect left ventricular systolic dysfunction.
David M HarmonRickey E CarterMichal Cohen-ShellyAnna SvatikovaDemilade A AdedinsewoPeter A NoseworthySuraj C KapaFrancisco Lopez-JimenezM P H Paul A FriedmanItzhak Zachi AttiaPublished in: European heart journal. Digital health (2022)
The artificial intelligence-enhanced electrocardiogram to detect left ventricular systolic dysfunction is stable over time in the absence of retraining and robust with respect to multiple variables including time, patient race, and electrocardiogram features.
Keyphrases
- artificial intelligence
- left ventricular
- machine learning
- big data
- heart failure
- deep learning
- hypertrophic cardiomyopathy
- cardiac resynchronization therapy
- acute myocardial infarction
- aortic stenosis
- left atrial
- mitral valve
- oxidative stress
- blood pressure
- case report
- percutaneous coronary intervention
- atrial fibrillation