AI tool aims to spot hidden AFib risk in stroke patients
NCT ID NCT07347691
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study looks at 92 people who had a stroke with no clear cause and received a small heart monitor. Researchers will use an artificial intelligence program called SmartECG-AF to analyze their ECGs and predict who might develop atrial fibrillation (an irregular heartbeat) in the future. The goal is to see if the AI can accurately separate high-risk patients from lower-risk ones, which could help doctors prevent future strokes.
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 ECG analysis (SmartECG-AF)
What this could lead to
If successful, this could lead to a simple AI-based method to identify stroke patients at high risk for atrial fibrillation, enabling earlier treatment and prevention of future strokes.
What could go wrong
This is a small, early-stage study (92 participants) that only observes and analyzes data—it does not test a new treatment. The AI tool may not prove accurate enough for widespread use.
Disclaimer
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the original study
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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.
Contacts and locations
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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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Ajou University Hospital
RECRUITINGSuwon, South Korea
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Inha University Hospital
RECRUITINGIncheon, South Korea
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Jeju National University Hospital
RECRUITINGJeju City, South Korea
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Korea University Ansan Hospital
RECRUITINGAnsan, South Korea
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Korea University Guro Hospital
RECRUITINGSeoul, South Korea
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••