ahajournals.org1d
Personalized Heart Digital Twins Detect Substrate Abnormalities in Scar-Dependent Ventricular Tachycardia
BACKGROUND: Current outcomes from catheter ablation for scar-dependent ventricular tachycardia (VT) are limited by high ...
Frontiers24d
A new prediction model for sustained ventricular tachycardia in arrhythmogenic cardiomyopathy
Background: Arrhythmogenic cardiomyopathy (ACM) is an inherited cardiomyopathy characterized by high risks of sustained ventricular tachycardia (sVT ... Surface electrocardiography (ECG), 24-h Holter ...
Medscape26d
Antitachycardia Pacing for Ventricular Tachycardia Using Implantable Cardioverter Defibrillators
Sustained monomorphic VT in nonischemic dilated cardiomyopathy (NDCMP) is less common than in ischemic cardiomyopathy. The pathophysiological basis for sustained monomorphic VT associated with ...
Medscape1mon
Antitachycardia Pacing for Ventricular Tachycardia Using Implantable Cardioverter Defibrillators
Thus, the interlacing of viable and nonviable myocardium is capable of satisfying the three conditions required for initiation and maintenance of a reentrant rhythm: (1) at least two functionally ...
Business Wire1mon
New Data Demonstrates Vektor Medical’s AI-Powered vMap Algorithm Achieves 91% Accuracy in Distinguishing Epicardial and Endocardial Ventricular Tachycardia, Markedly ...
The abstract, titled “Artificial Intelligence ECG Analysis More Accurately Identifies Epicardial versus Endocardial Ventricular Tachycardia and Pacing Compared with Visual Criteria,” presents ...
ahajournals.org1mon
Abstract 4144676: Leveraging AI to Identify ECG Indicators of Ventricular Dysfunction
Introduction: Recent studies have demonstrated that artificial intelligence can effectively identify ventricular dysfunction using electrocardiograms (ECGs). However, the specific ECG waveforms ...