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

Study acronym: SMART-ESUS
StatusRecruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗

Record History

  1. Study First Submitted
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.
Trial Details
NCT Number NCT07347691
Lead Sponsor Inha University Hospital
Collaborators: DeepCardio Co., Ltd.
Conditions
(from sponsor)		 Embolic Stroke of Undetermined Source
Related terms Ischemic Stroke
Enrollment 92 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov