ARRHYTHMIAS, CARDIAC

This study will test an AI software called Volta AF-Xplorer II during catheter ablation for atrial fibrillation. About 150 adults will be treated in real-world clinics, and researchers will track how well the AI helps guide the procedure. The goal is to see if the AI improves saf…

This study is testing a digital app called VIRTUES that provides educational resources and treatment recommendations for heart conditions like atrial fibrillation and heart failure. Researchers will enroll 2000 patients across 11 modules to see if the app is easy to use and helps…

This study tests a new device called MAGiC that uses magnets to help doctors treat abnormal heart rhythms. About 150 adults who need a standard heart ablation procedure will take part. The goal is to see if the device is safe and works well, both right after the procedure and ove…

This study compares two approaches for treating atrial tachycardia that occurs after atrial fibrillation ablation or heart surgery. One group gets standard ablation targeting all abnormal heart circuits, while the other gets a more focused ablation guided by a new ultra-high-dens…

This study tests a new device (TS-RF system) that uses radiofrequency energy to help doctors safely reach the left side of the heart during procedures for abnormal heart rhythms or mitral stenosis. About 70 adults will be randomly assigned to receive either the new device or a st…

This study compares a single dose of targeted radiation (SBRT) to the standard catheter ablation procedure for reducing dangerous heart rhythms in people with advanced heart disease. Sixty participants will be randomly assigned to one of the two treatments. The main goal is to se…

This study tests whether a personalized, sensor-based exercise program can reduce symptoms like palpitations and shortness of breath in people with atrial fibrillation (AF). Researchers will enroll 120 adults with paroxysmal AF who are not very active. Participants will use a dig…

This observational study will follow 8,000 people with irregular heartbeats (arrhythmias) who are scheduled for a standard catheter ablation procedure using Biosense Webster devices. Researchers will track safety issues and how well the procedure works in everyday hospital practi…

This study is developing an AI system that tracks tumors and organs during radiation therapy without needing physical markers. Researchers will use existing patient data to train and test the AI. If it works, it could help doctors target radiation more accurately. The study invol…

This Stanford study looks at 200 people with persistent atrial fibrillation (AF) who are scheduled for ablation or Maze surgery. Researchers will map the heart's electrical activity to see if the size of organized areas predicts whether the procedure works. The goal is to better …

This study will follow 500 people who have had a stroke and also have atrial fibrillation (an irregular heartbeat). Some were taking blood thinners when they had their stroke, others were not. Researchers want to understand why blood thinners fail in some patients, by looking at …

This Stanford study is testing whether machine learning can help predict which patients with atrial fibrillation will benefit from a heart ablation procedure. Researchers will collect data from 120 people undergoing ablation and use it to train an algorithm that forecasts success…

This study collects blood and tissue samples from 2,000 people with or without heart rhythm problems. Researchers will analyze the samples to find genetic differences linked to arrhythmias. The goal is to better understand the causes of these conditions, not to test a new treatme…