Trials / Recruiting
RecruitingNCT06847932
Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development
Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development: a Randomized Control Trial
- Status
- Recruiting
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 14,726 (estimated)
- Sponsor
- National Defense Medical Center, Taiwan · Academic / Other
- Sex
- All
- Age
- 40 Days – 85 Days
- Healthy volunteers
- Not accepted
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.
Conditions
- Atrial Fibrillation (AF)
- Premature Atrial Complexes
- Atrial Arrhythmias
- Artificial Intelligence (AI)
- Electrocardiogram
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | AF-predict AI-ECG alert system guided management | AF-predict AI-ECG alert system |
Timeline
- Start date
- 2025-07-01
- Primary completion
- 2026-07-01
- Completion
- 2026-10-01
- First posted
- 2025-02-26
- Last updated
- 2025-11-19
Locations
1 site across 1 country: Taiwan
Source: ClinicalTrials.gov record NCT06847932. Inclusion in this directory is not an endorsement.