AI tool aims to spot hidden AFib risk in stroke patients

NCT ID NCT07347691

Recruiting now Knowledge-focused Sponsor: Inha University Hospital Source: ClinicalTrials.gov ↗

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.

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Conditions

The condition(s) this trial relates to.

intracranial embolism Ischemic Stroke stroke disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

EMBOLIC STROKE OF UNDETERMINED SOURCE

Contacts and locations

Locations

Ajou University Hospital
RECRUITING

Suwon, South Korea
Inha University Hospital
RECRUITING

Incheon, South Korea
Jeju National University Hospital
RECRUITING

Jeju City, South Korea
Korea University Ansan Hospital
RECRUITING

Ansan, South Korea
Korea University Guro Hospital
RECRUITING

Seoul, South Korea

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