Stanford's AI could predict your heart treatment success
NCT ID NCT05371405
Summary
This study aims to use machine learning (a type of artificial intelligence) to better understand different types of atrial fibrillation and predict which patients will benefit from ablation procedures. Researchers will enroll 120 patients undergoing standard ablation treatment to see if AI algorithms can accurately predict treatment success one year later. The goal is to develop more personalized treatment approaches for this common heart rhythm disorder.
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Study contacts
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Contact
Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Stanford University
RECRUITINGStanford, California, 94305, United States
Contact Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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