AI heart scanner aims to catch silent AFib before it strikes
NCT ID NCT07173673
First seen Jun 26, 2026 · Last updated Jun 26, 2026 · Updated 1 time
Summary
This study tests whether an artificial intelligence-enhanced ECG (SmartECG-AFrisk) can detect atrial fibrillation (AF) earlier than usual care in 1,230 adults with symptoms like palpitations or dizziness but no prior AF diagnosis. Participants are randomly assigned to either standard monitoring or AI-guided care, where the algorithm flags high-risk individuals for closer monitoring. The goal is to see if AI can improve AF detection within six months and help prevent serious events like stroke.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Artificial intelligence-enhanced electrocardiography (SmartECG-AFrisk) device
- What this could lead to
- If successful, this could provide a simple, non-invasive way to catch hidden atrial fibrillation earlier, potentially preventing strokes and other complications.
- What could go wrong
- This is an early-stage trial with no results yet. The AI may not improve detection rates significantly, and findings may not apply outside the study population.
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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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Yonsei University College of Medicine
Seoul, South Korea
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- Could a guided Self-Care plan tame atrial Fibrillation's return?