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
- heart failure
- type diabetes
- heart rate
- virtual reality
- heart rate variability
- acute coronary syndrome
- intensive care unit
- left ventricular
- cardiovascular disease
- hepatitis b virus
- atrial fibrillation
- ejection fraction