AI-Powered ECG could reveal hidden heart recovery after ablation
NCT ID NCT07708818
First seen Jul 16, 2026 · Last updated Jul 21, 2026 · Updated 3 times
Summary
This study tests whether an artificial intelligence analysis of standard electrocardiograms (ECGs) can track heart muscle recovery in people with atrial fibrillation and mild heart failure who undergo catheter ablation. Researchers will follow 1,000 participants for a year, using AI to calculate a heart failure risk score from each ECG and comparing it with traditional measures like echocardiograms and blood tests. The goal is to see if this digital tool can serve as a simple, noninvasive way to monitor how well the heart heals after the procedure.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- catheter ablation
- What this could lead to
- If successful, this could show that AI-ECG is a reliable way to monitor heart recovery after ablation, potentially guiding personalized treatment decisions.
- What could go wrong
- This is an observational study, not a treatment trial, so it won't directly prove that AI-ECG improves outcomes. Results may not apply to all heart failure patients.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Ewha Womans University Mokdong Hospital
Seoul, 07804, South Korea
Contact Phone: •••-•••-•••• Email: •••••@•••••
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