AI may help doctors predict who benefits from heart procedure
NCT ID NCT05371405
First seen Nov 16, 2025 · Last updated Apr 30, 2026 · Updated 20 times
Summary
This study at Stanford University uses machine learning to better understand different types of atrial fibrillation (AF), a common heart rhythm problem that can cause dizziness, stroke, and death. Researchers will collect data from 120 adults undergoing a heart procedure called ablation to train an AI algorithm. The goal is to see if the AI can predict which patients will have a successful outcome one year after treatment and identify the best targets for the procedure.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Stanford University
RECRUITINGStanford, California, 94305, United States
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