Related Experiment Video
Updated: Jul 5, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Using latent class analysis for identifying clinical phenotypes associated with prognosis in patients with atrial
Wenhui Li1, Amir Askarinejad2, Yanda Meng3
1Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom; Department of Computer Science, Faculty of Environment, Science and Economy, University of Exeter, Exeter, United Kingdom.
No abstract available in PubMed .
Related Concept Videos
Dysrhythmias II: Classification of Tachyarrhythmias
Heart Failure IV: Classification and Diagnostic Evaluation
Pulmonary Hypertension: Classification and Pathogenesis
There are various classifications for PH, each relating to different underlying causes and also...
Cardiomyopathy III: Hypertrophic Cardiomyopathy
Mitral Stenosis II: Clinical features and Diagnostic Tests
Cardiomyopathy I: Introduction and Classification
