Artificial intelligence-based identification of left ventricular systolic dysfunction from 12-lead electrocardiograms: external validation and advanced application of an existing model.
Sebastian KönigSven HohensteinAnne NitscheVincent PellissierJohannes LeinerLars StellmacherGerhard HindricksAndreas BollmannPublished in: European heart journal. Digital health (2023)
We provide the external validation of an existing AI-based ECG-analysing model for the detection of LVSD with robust performance metrics. The association of false positive LVSD screenings at baseline with a deterioration of ventricular function during FU deserves a further evaluation in prospective trials.
Keyphrases
- artificial intelligence
- left ventricular
- machine learning
- heart failure
- big data
- deep learning
- blood pressure
- acute myocardial infarction
- hypertrophic cardiomyopathy
- cardiac resynchronization therapy
- oxidative stress
- heart rate variability
- aortic stenosis
- left atrial
- heart rate
- atrial fibrillation
- ejection fraction
- label free
- acute coronary syndrome
- clinical evaluation