Actively Recruiting

Age: 30Years +
All Genders
NCT07347691

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

Led by Inha University Hospital · Updated on 2026-01-16

92

Participants Needed

5

Research Sites

127 weeks

Total Duration

On this page

Sponsors

I

Inha University Hospital

Lead Sponsor

D

DeepCardio Co., Ltd.

Collaborating Sponsor

AI-Summary

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.

CONDITIONS

Official Title

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

Who Can Participate

Age: 30Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients aged 30 years or older
  • Diagnosed with Embolic Stroke of Undetermined Source (ESUS)
  • Have undergone or are scheduled for Implantable Cardiac Monitor (ICM) implantation
  • Had at least one 12-lead ECG within 2 weeks before or after ICM implantation
  • Sinus Rhythm on ECG at enrollment
  • Voluntarily signed informed consent form
Not Eligible

You will not qualify if you...

  • History of Atrial Fibrillation (AF) before enrollment
  • ICM battery at Elective Replacement Interval (ERI) preventing recordings
  • ECGs that cannot be analyzed by AI due to severe artifacts, noise, or incompatibility with digital analysis

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 5 locations

1

Korea University Ansan Hospital

Ansan, South Korea

Actively Recruiting

2

Inha University Hospital

Incheon, South Korea

Actively Recruiting

3

Jeju National University Hospital

Jeju City, South Korea

Actively Recruiting

4

Korea University Guro Hospital

Seoul, South Korea

Actively Recruiting

5

Ajou University Hospital

Suwon, South Korea

Actively Recruiting

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Research Team

Y

Yong-Soo Baek, MD, PhD

CONTACT

H

Hyoung Seok Lee, MD

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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