AI-enabled Left Atrial Volumetry in Cardiac CT Scans Improves CHARGE-AF and Outperforms NT-ProBNP for Prediction of Atrial Fibrillation in Asymptomatic Individuals: Multi-Ethnic Study of Atherosclerosis.
Morteza NaghaviDavid YankelevitzAnthony P ReevesMatthew J BudoffDong LiKyle C AtlasChenyu ZhangThomas L AtlasSeth LiretteJakob WasserthalClaudia HenschkeChristopher DefilippiSusan R HeckbertPhilip GreenlandPublished in: medRxiv : the preprint server for health sciences (2024)
AI-CAC LA volume enabled prediction of AF as early as one year and significantly improved on risk classification of CHARGE-AF Risk Score and BNP.
Keyphrases
- atrial fibrillation
- left atrial
- catheter ablation
- oral anticoagulants
- left atrial appendage
- computed tomography
- artificial intelligence
- direct oral anticoagulants
- heart failure
- left ventricular
- machine learning
- percutaneous coronary intervention
- dual energy
- contrast enhanced
- deep learning
- cardiovascular disease
- mitral valve
- solar cells
- image quality
- magnetic resonance imaging
- type diabetes
- positron emission tomography