ConditionsAtrial Fibrillation (AF)Premature Atrial ComplexesAtrial ArrhythmiasArtificial Intelligence (AI)Electrocardiogram
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age40-85
SponsorNational Defense Medical Center, Taiwan
About this trial
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 criteria
Qualifiers
Patients in the inpatient department or the outpatient department
Patients need to have at least one electrocardiogram within one year
Disqualifiers
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
Trial design
Treatments tested in this trial
- AF-predict AI-ECG alert system guided management
Treatment groups
14,726 Participants
are divided into 2 treatment groupsSponsors and collaborators
Source ClinicalTrials.gov