AI-Powered ECG alerts could catch silent heart condition before it strikes
NCT ID NCT06847932
First seen Nov 19, 2025 · Last updated May 16, 2026 · Updated 23 times
Summary
This study tests an artificial intelligence system that analyzes electrocardiograms (ECGs) to alert doctors when a patient might have hidden atrial fibrillation (AF), a common heart rhythm problem that raises stroke risk. About 14,700 adults who have had an ECG in the past year will be randomly assigned to have their doctors receive AI alerts or not. The goal is to see if the alerts lead to more diagnoses of AF within 90 days, using continuous heart monitors to confirm.
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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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Tri-Service General Hospital
RECRUITINGTaipei, 114, Taiwan
Contact
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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