Prospective Validation Study of AI-based Prediction Algorith... | Clinical Trial | StuddyBuddy@endsection Prospective Validation Study of AI-based Prediction Algorithm for the Prediction of Paroxysmal Atrial Fibrillation
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Enrolling By Invitation NCT05725187

Prospective Validation Study of AI-based Prediction Algorithm for the Prediction of Paroxysmal Atrial Fibrillation

Conditions: Atrial Fibrillation Paroxysmal

Sex: All
Ages: 20 Years – N/A
Healthy volunteers: 1
Enrollment: 650
Sponsor: Ewha Womans University Mokdong Hospital

Location: Korea, Republic of

Summary

The purpose of this study is to predict the occurrence of paroxysmal atrial fibrillation by finding high-risk group from normal sinus rhythm ECG through artificial intelligence-based prediction algorithm.

Eligibility Criteria

Inclusion Criteria:Participants must be above 20 in ageParticipants are patients with symptom of arrhythmia who visited outpatient clinic or who have been hospitalizedExclusion Criteria:Excluding patients with cardiac implantable electronic device such as pacemakers, implantable defibrillators (ICD), or cardiac resynchronization therapy (CRT).Excluding pregnant women and lactating women.

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT05725187). StuddyBuddy aggregates publicly available trial information.