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Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development
Sponsor: National Defense Medical Center, Taiwan
Summary
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.
Official title: Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development: a Randomized Control Trial
Key Details
Gender
All
Age Range
40 Days - 85 Days
Study Type
INTERVENTIONAL
Enrollment
14726
Start Date
2025-07-01
Completion Date
2026-10-01
Last Updated
2025-11-19
Healthy Volunteers
No
Conditions
Interventions
AF-predict AI-ECG alert system guided management
AF-predict AI-ECG alert system
Locations (1)
Tri-Service General Hospital
Taipei, Taiwan