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Study identifier: NCT07347691 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

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

Condition: Embolic Stroke of Undetermined Source  ·  Sponsor: Inha University Hospital

PhaseN/A
Planned participants92
Who can joinAll sexes, 30 Years to no upper limit
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Yong-Soo Baek, MD, PhD  ·  +82-32-890-2200  ·  existsoo@inha.ac.kr

Hyoung Seok Lee, MD  ·  +82-32-890-3575  ·  hyoungseok_lee@inha.ac.kr

Always discuss trial participation with your own doctor first.

Locations (5)

Korea University Ansan HospitalAnsan, South KoreaRecruiting
Inha University HospitalIncheon, South KoreaRecruiting
Jeju National University HospitalJeju City, South KoreaRecruiting
Korea University Guro HospitalSeoul, South KoreaRecruiting
Ajou University HospitalSuwon, South KoreaRecruiting

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Source record: clinicaltrials.gov/study/NCT07347691