Feasibility of Artificial Intelligence-Based Electrocardiography Analysis for the Prediction of Obstructive Coronary Artery Disease in Patients With Stable Angina: Validation Study.
Jiesuck ParkYeonyee Elizabeth YoonYoungjin ChoJoonghee KimPublished in: JMIR cardio (2023)
QCG scores developed for acute conditions show limited performance in identifying obstructive CAD in stable angina. However, improvement in the QCG analyzer, through training on comprehensive ECG signals in patients with stable angina, is feasible.
Keyphrases
- coronary artery disease
- artificial intelligence
- percutaneous coronary intervention
- machine learning
- cardiovascular events
- big data
- coronary artery bypass grafting
- deep learning
- liver failure
- coronary artery
- heart rate
- heart rate variability
- respiratory failure
- type diabetes
- aortic dissection
- aortic stenosis
- blood pressure
- acute coronary syndrome
- left ventricular
- ejection fraction