EligibleTrials

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

Recruiting · NCT07347691 · Observational (researchers observe without assigning treatment) · Lead sponsor: Inha University Hospital

View the official record on ClinicalTrials.gov →
Atrial fibrillation

What this trial is about

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.

Who can take part

Age range
30 Years and older
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)

Inclusion criteria

Exclusion criteria

Where it is running

5 locations listed.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

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