Artificial intelligence-enhanced automation of left ventricular diastolic assessment: a pilot study for feasibility, diagnostic validation, and outcome prediction.
Jiesuck ParkJaeik JeonYeonyee E YoonYeonggul JangJiyeon KimDawun JeongJina LeeYoungtaek HongSeongmin HaArsanjani RezaHyung-Bok ParkSeung-Ah LeeHyejung ChoiHong-Mi ChoiIn-Chang HwangGoo-Yeong ChoHyuk-Jae ChangPublished in: Cardiovascular diagnosis and therapy (2024)
Our AI-based approach for automatic LVDF assessment on echocardiography is feasible, potentially enhancing clinical diagnosis and outcome prediction.
Keyphrases
- artificial intelligence
- left ventricular
- deep learning
- machine learning
- big data
- hypertrophic cardiomyopathy
- heart failure
- acute myocardial infarction
- cardiac resynchronization therapy
- blood pressure
- aortic stenosis
- left atrial
- pulmonary hypertension
- ejection fraction
- acute coronary syndrome
- percutaneous coronary intervention
- neural network
- transcatheter aortic valve replacement