Clin2
NCT07722039Worth exploringNot yet recruiting

Can an ECG AI predict a fast heart rate episode in atrial fibrillation?

Atrial Fibrillation (AF)Atrial Fibrillation With Rapid Ventricular Response

Part of Heart & circulation clinical trials.

This study tests a new AI system that uses your ECG to predict if you might develop a fast heart rate episode (called rapid ventricular response) within the next 2 hours. It looks at data already collected from patients with atrial fibrillation to see if the AI can spot warning signs.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
348 people
Ages
19 years and older
Study type
Observational

Who can take part

  • You are 19 or older.
  • You had an ECG at Seoul National University Hospital between September 2022 and September 2025.
  • You have a diagnosis of atrial fibrillation.
  • For the study, your heart rate must have been exactly 110 or higher for at least 30 seconds (this is called rapid ventricular response).
  • Your ECG recording must be at least 10 minutes long and clear enough to read (no significant noise or signal loss).
  • You were not pregnant or breastfeeding at the time of the ECG.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT07722078Not yet recruiting
Can a new AI predict atrial fibrillation from a single-lead ECG?

This study uses a new AI tool to analyze single-lead ECG recordings and see if it can predict new atrial fibrillation episodes within the next 2 hours, even in people without a prior AF diagnosis. If your ECG data is available in the SNUH database and meets quality criteria, you may help validate this prediction method.

NCT06847932Recruiting
AI ECG to detect early atrial fibrillation

This trial uses an artificial intelligence system to analyze your electrocardiogram (ECG) results and alert your care team if you might be developing atrial fibrillation. It aims to catch this common heart rhythm problem early, so you can get treatment sooner.

Taipei
NCT07486739Not yet recruiting
AI-ECG heart test for atrial fibrillation management

This trial tests whether using an artificial intelligence (AI) system to read your electrocardiogram (ECG, a heart rhythm test) can better evaluate your heart's structure and function, helping manage atrial fibrillation (AF). You may qualify if you have AF and need an echocardiogram (ultrasound of the heart).

Ansan
NCT06842147Recruiting
AI Heart Monitor for New Atrial Fibrillation Detection

This trial uses a special long-term heart monitor (one wire) that uses artificial intelligence to find new cases of atrial fibrillation, a type of irregular heartbeat that can increase stroke risk. If you're 60 or older and haven't had AF before, this study could help catch it early.

Zhejiang, Quzhou
NCT07708818Not yet recruiting
AI-ECG to assess heart failure risk after afib ablation

This trial uses an AI tool to analyze your heart's electrical signals (ECG) to better understand your risk of heart failure and how well your heart recovers after a procedure called catheter ablation for atrial fibrillation. It may help guide your treatment if you have early signs of heart failure.

Seoul
NCT07447297Recruiting
Early Rhythm Control for Device-Detected Fast Heart Episodes

This trial tests whether starting treatment early to control your heart's rhythm can help people with a heart device who have short bursts of a fast heartbeat (called atrial high rate episodes) but haven't yet been diagnosed with atrial fibrillation on a standard EKG or Holter monitor.

Seoul, Seoul

Hear when a new Atrial Fibrillation (AF) trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.