AI-Powered ECG aims to catch hidden heart rhythm disorder
NCT ID NCT07173673
First seen Nov 01, 2025 · Last updated May 22, 2026 · Updated 30 times
Summary
This study tests whether an artificial intelligence tool (SmartECG-AFrisk) can detect atrial fibrillation (AF) earlier than standard care in 1,230 adults with symptoms like palpitations or dizziness but no prior AF diagnosis. Participants are randomly assigned to usual monitoring or AI-guided monitoring based on their ECG risk score. The goal is to see if the AI approach leads to more AF diagnoses within 6 months, potentially improving treatment and reducing stroke risk.
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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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Contact
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Locations
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Yonsei University College of Medicine
Seoul, South Korea
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Conditions
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