AI could predict which heart ablations work best
NCT ID NCT05371405
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
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. The goal is to personalize treatment and identify the best targets for ablation.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to more personalized and effective ablation procedures for atrial fibrillation patients.
- What could go wrong
- This is an early-stage observational study focused on developing a prediction tool, not testing a new treatment. The algorithm may not improve outcomes in practice.
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
Locations
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Stanford University
RECRUITINGStanford, California, 94305, United States
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