Actively Recruiting
Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development
Led by National Defense Medical Center, Taiwan · Updated on 2025-11-19
14726
Participants Needed
1
Research Sites
65 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Our study aimed to use an AF-predict AI-ECG alert system to help physicians identify patients who need to wear a continuous cardiac rhythm monitor for new diagnoses of atrial fibrillation (AF), atrial flutter (AFL), or atrial arrhythmia with high AF risk, including premature atrial complexes (PAC) ≥ 500/24hr, burst PACs \> 20 beats, non-sustained AF/AFL.
CONDITIONS
Official Title
Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients in the inpatient department or the outpatient department
- Patients need to have at least one electrocardiogram within one year
You will not qualify if you...
- Diagnosis of atrial fibrillation or atrial flutter
- History of atrial fibrillation or atrial flutter catheter ablation
- Patients with cardiac implantable electronic devices
- Any documented electrocardiogram showing atrial fibrillation, atrial flutter, or pacing rhythm
- History of receiving rhythm control medications for atrial arrhythmia, including Class I and Class III antiarrhythmic drugs
- Any indication for anticoagulant agents, including vitamin K antagonist and non-vitamin K antagonist oral anticoagulant
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Tri-Service General Hospital
Taipei, Taiwan, 114
Actively Recruiting
Research Team
C
Chin Lin, PhD
CONTACT
C
ChiaoChin Lee, MD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
DIAGNOSTIC
Number of Arms
2
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