AI-Powered ECG alerts could catch silent heart rhythm problems before they strike
NCT ID NCT06847932
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether an artificial intelligence (AI) system can help doctors spot hidden atrial fibrillation (AF) — a common heart rhythm disorder that raises stroke risk — by flagging suspicious electrocardiograms (ECGs). About 14,700 patients will be randomly assigned to have their ECGs reviewed with or without AI alerts. Those flagged by AI will receive a continuous heart monitor to confirm the diagnosis. The goal is to see if AI can increase early detection of AF and related dangerous rhythms within 90 days.
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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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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
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Study contacts
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Phone: •••-•••-•••• Email: •••••@•••••
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Phone: •••-•••-•••• Email: •••••@•••••
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Tri-Service General Hospital
RECRUITINGTaipei, 114, Taiwan
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