Prediction of Hidden Coronary Artery Disease Using Machine Learning in Patients With Acute Ischemic Stroke.
JoonNyung HeoJoonsang YooHyungwoo LeeIl Hyung LeeJung-Sun KimEunjeong ParkYoung Dae KimHyo Suk NamPublished in: Neurology (2022)
This study provides Class II evidence that in patients with acute ischemic stroke with CAD risk factors but no known history of CAD, a machine learning model predicts CAD on multidetector coronary CT with an AUC of 0.763 (95% CI 0.711-0.814).
Keyphrases
- acute ischemic stroke
- coronary artery disease
- machine learning
- risk factors
- percutaneous coronary intervention
- computed tomography
- cardiovascular events
- coronary artery bypass grafting
- aortic stenosis
- dual energy
- contrast enhanced
- heart failure
- positron emission tomography
- artificial intelligence
- coronary artery
- magnetic resonance imaging
- type diabetes
- cardiovascular disease
- atrial fibrillation