Machine-learning model for predicting left atrial thrombus in patients with paroxysmal atrial fibrillation.
Journal:
BMC cardiovascular disorders
Published Date:
Jun 2, 2025
Abstract
OBJECTIVE: Left atrial thrombus (LAT) poses a significant risk for stroke and other thromboembolic complication in patients with atrial fibrillation (AF). This study aimed to evaluate the incidence and predictors of LAT in patients with paroxysmal AF, utilizing machine learning techniques based on data from the Chinese Atrial Fibrillation study.