RecruitingNot ApplicableNCT06847932

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

Sponsor

National Defense Medical Center, Taiwan

Enrollment

14,726 participants

Start Date

Jul 1, 2025

Study Type

INTERVENTIONAL

Conditions

Artificial Intelligence (AI)Atrial Fibrillation (AF)Electrocardiogram Premature Atrial Complexes Atrial Arrhythmias

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.

Eligibility

Min Age: 40 DaysMax Age: 85 Days

Inclusion Criteria2

Patients in the inpatient department or the outpatient department
Patients need to have at least one electrocardiogram within one year

Exclusion Criteria6

Diagnosis of atrial fibrillation/atrial flutter
History of atrial fibrillation/atrial flutter catheter ablation
Patients with cardiac implantable electronic devices
Any documented electrocardiogram showed atrial fibrillation/atrial flutter and pacing rhythm
History of received rhythm control medications for atrial arrhythmia, including Class I and Class III antiarrhythmic drugs
Any reasons indicate for anti-coagulant agents, including vitamin K antagonist and non-vitamin K antagonist oral anticoagulant