Prognostic Value of a Novel Artificial Intelligence-Based Coronary Computed Tomography Angiography-Derived Ischemia Algorithm for Patients with Suspected Coronary Artery Disease.
Sarah BärTakeru NabetaTeemu MaaniittyAntti SarasteJeroen J BaxJames P EarlsJames K MinJuhani KnuutiPublished in: European heart journal. Cardiovascular Imaging (2023)
Among patients with suspected CAD, an abnormal AI-QCTischemia result was associated with a 2-fold increased adjusted rate of long-term death, MI, or uAP. AI-QCTischemia may be useful to improve risk stratification, especially among patients with no/non-obstructive CAD on coronary CTA.
Keyphrases
- coronary artery disease
- artificial intelligence
- machine learning
- deep learning
- big data
- percutaneous coronary intervention
- cardiovascular events
- coronary artery bypass grafting
- coronary artery
- aortic stenosis
- cardiovascular disease
- heart failure
- magnetic resonance imaging
- type diabetes
- computed tomography
- atrial fibrillation
- left ventricular
- neural network
- ejection fraction