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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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.
Contacts and locations
Locations
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Tri-Service General Hospital
RECRUITINGTaipei, 114, Taiwan
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