Detection of Left Atrial Myopathy Using Artificial Intelligence-Enabled Electrocardiography.
Frederik Hendrik VerbruggeYogesh N V ReddyItzhak Zachi AttiaPaul A FriedmanPeter A NoseworthyFrancisco Lopez-JimenezSuraj C KapaBarry A BorlaugPublished in: Circulation. Heart failure (2021)
A novel AI-enabled score derived from a single 12-lead ECG identifies the presence of underlying LA myopathy in patients with heart failure and preserved ejection fraction as evidenced by structural, functional, and hemodynamic abnormalities, as well as long-term risk for incident AF. Further research is required to determine the role of the AI-enabled ECG in the evaluation and care of patients with heart failure and preserved ejection fraction.
Keyphrases
- ejection fraction
- artificial intelligence
- left atrial
- atrial fibrillation
- aortic stenosis
- machine learning
- big data
- deep learning
- late onset
- mitral valve
- heart rate variability
- heart rate
- left ventricular
- catheter ablation
- healthcare
- palliative care
- cardiovascular disease
- muscular dystrophy
- quality improvement
- heart failure
- type diabetes
- early onset
- coronary artery disease
- blood pressure
- chronic pain