Enhanced detection of severe aortic stenosis via artificial intelligence: a clinical cohort study.
Geoffrey A StrangeSimon StewartAndrew WattsDavid PlayfordPublished in: Open heart (2023)
An AI-DSA can identify the echocardiographic measurement characteristics of AS associated with poor survival (with not all cases guideline defined). Deployment of this tool in routine clinical practice could improve expedited identification of severe AS cases and more timely referral for therapy.
Keyphrases
- artificial intelligence
- aortic stenosis
- clinical practice
- ejection fraction
- left ventricular
- machine learning
- transcatheter aortic valve replacement
- big data
- deep learning
- aortic valve replacement
- transcatheter aortic valve implantation
- aortic valve
- early onset
- primary care
- coronary artery disease
- pulmonary hypertension
- mitral valve
- stem cells
- label free
- free survival
- left atrial
- mesenchymal stem cells
- cell therapy