Left ventricular assessment with artificial intelligence increases the diagnostic accuracy of stress echocardiography.
Jamie M O'DriscollWilliam HawkesArian BeqiriAngela MumithAndrew ParkerRoss UptonAnnabelle McCourtWilliam WoodwardCameron DockerillNikant Kumar SabharwalAttila KardosDaniel X AugustineKatrin BalkhausenBadrinathan ChandrasekaranSoroosh FiroozanAnna MarciniakStephen HeitnerMrinal YadavaSanjiv KaulRizwan SarwarRajan SharmaGary WoodwardPaul LeesonPublished in: European heart journal open (2022)
AI calculation of LVEF and GLS by contouring of contrast-enhanced and unenhanced SEs at rest and stress is feasible and independently improves the identification of obstructive CAD beyond conventional WMSI.
Keyphrases
- artificial intelligence
- contrast enhanced
- left ventricular
- computed tomography
- machine learning
- big data
- magnetic resonance imaging
- diffusion weighted
- deep learning
- magnetic resonance
- diffusion weighted imaging
- coronary artery disease
- heart failure
- dual energy
- acute myocardial infarction
- pulmonary hypertension
- weight loss
- cardiac resynchronization therapy
- aortic stenosis
- bioinformatics analysis
- atrial fibrillation
- percutaneous coronary intervention