AI-Based Prediction of Atrial Fibrillation in ESUS Patients With ICM

Recruiting now

Conditions studied: Embolic Stroke of Undetermined Source

In brief

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.

Key facts

Study ID
NCT07347691
Run by
Inha University Hospital
People needed
92
Starts
2025-11-19
Expected to finish
2028-05-01
Last updated by the study team
2026-01-16

Who can join

Age: 30 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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