Plain-English translation of NCT05371405 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Read our Atrial Fibrillation research guide →Researchers are testing whether artificial intelligence can analyze electrical patterns in your heart during ablation treatment for atrial fibrillation to predict whether the procedure will work for you long-term. By collecting detailed heart rhythm information during your standard ablation procedure, they hope to develop computer algorithms that can identify which patients will have successful outcomes and which may need additional treatment.
Ablation is a common treatment for atrial fibrillation, but it doesn't work equally well for everyone. This study aims to use artificial intelligence to better understand why some patients do well after the procedure and others don't, which could help doctors personalize treatment plans and improve outcomes in the future.
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You will participate as part of your standard ablation procedure at Stanford. Doctors will collect additional electrical recordings from your heart using a special catheter during your ablation treatment. After the procedure, researchers will follow up with you for one year to see whether your arrhythmia comes back, using the data they collected to test whether their artificial intelligence predictions were accurate.
AI-generated summary from trial data · Jun 7, 2026 · Not medical advice
United States
Sponsor
Stanford University
Enrollment target
~120 participants
Started
February 2020
Primary completion
December 2026
Age range
22 Years – 80 Years
Last updated on clinicaltrials.gov in November 2025.
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Central contact
Sanjiv Narayan, MD
Stanford University
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.