Machine Learning of Cardiac Anatomy and the Risk of New-Onset Atrial Fibrillation After TAVR.
Mark S BrahierShwetha KochiJulia HuangEmma PiliponisAndrew SmithAdam JohnsonSuraya PoianMusa AbdulkareemXiaoyang MaColin WuJonathan P PicciniSteffen PetersenJose D VargasPublished in: JACC. Clinical electrophysiology (2024)
Underlying cardiac structural differences derived from cardiac imaging may be useful in predicting NOAF following transfemoral TAVR, independent of other clinical risk factors.
Keyphrases
- transcatheter aortic valve replacement
- machine learning
- left ventricular
- risk factors
- atrial fibrillation
- aortic valve
- aortic stenosis
- high resolution
- heart failure
- left atrial
- artificial intelligence
- coronary artery disease
- big data
- percutaneous coronary intervention
- deep learning
- mass spectrometry
- direct oral anticoagulants
- catheter ablation
- ejection fraction
- mitral valve