AI may help doctors predict who benefits from heart procedure

NCT ID NCT05371405

Recruiting now Knowledge-focused Sponsor: Stanford University Source: ClinicalTrials.gov ↗

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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Contacts and locations

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Study contacts

Contact

Email: •••••@•••••
Contact

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Locations

Stanford University
RECRUITING

Stanford, California, 94305, United States

Contact Email: •••••@•••••

Contact Phone: •••-•••-•••• Email: •••••@•••••

Conditions

Explore the condition pages connected to this study.

ARRHYTHMIAS, CARDIAC ATRIAL FIBRILLATION