AI-Based Prediction of Atrial Fibrillation in ESUS Patients With ICM
Condition(s) studied
Study summary
This study investigates patients with Embolic Stroke of Undetermined Source (ESUS) who have received an Implantable Cardiac Monitor (ICM). The main purpose is to evaluate the predictive value of an Artificial Intelligence ECG analysis tool, named SmartECG-AF.
Participants will be classified into two groups based on the AI analysis: a "High Risk" group and a "Low to Intermediate Risk" (control) group. The study aims to compare the incidence rate of atrial fibrillation (AF) events over time between these two groups. Additionally, the study will analyze the relationship between the AI-predicted risk levels and the occurrence of major cardiovascular events during the follow-up period.
Eligibility
Primary outcome measure(s)
- Incidence of Atrial Fibrillation (Time-to-Event) — Up to 12 months
Comparison of the cumulative incidence rate of atrial fibrillation (AF) events between the High Risk group and the Low to Intermediate Risk group (classified by SmartECG-AF). AF occurrence is confirmed by reviewing data recorded on the Implantable Cardiac Monitor (ICM).
Trial sites (5)
| Facility | City | Region | Status |
|---|---|---|---|
| Korea University Ansan Hospital | Ansan | South Korea | Recruiting |
| Inha University Hospital | Incheon | South Korea | Recruiting |
| Jeju National University Hospital | Jeju City | South Korea | Recruiting |
| Korea University Guro Hospital | Seoul | South Korea | Recruiting |
| Ajou University Hospital | Suwon | South Korea | Recruiting |
More Inha University Hospital trials in South Korea
Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07347691 on ClinicalTrials.gov ↗ ← All trials in South Korea