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Functional And STructural Assesment of the Heart by Artificial Intelligence-enabled Electrocardiogram for the Management of Atrial Fibrillation
Sponsor: Seoul National University Hospital
Summary
The objective of this study is to evaluate whether an AI-ECG based screening strategy for detecting cardiac functional and structural abnormalities preserves clinical effectiveness and safety, compared with a conventional strategy of routine echocardiography in patients with AF, thereby demonstrating the non-inferiority of AI-ECG guided care.
Key Details
Gender
All
Age Range
19 Years - Any
Study Type
INTERVENTIONAL
Enrollment
1724
Start Date
2026-05
Completion Date
2030-12-31
Last Updated
2026-03-23
Healthy Volunteers
No
Conditions
Interventions
Artificial intelligence-enabled electrocardiography
An artificial intelligence algorithm applied to standard 12-lead electrocardiography designed to predict cardiac structural or functional abnormalities. This tool guides the decision to perform or withhold downstream echocardiography.
Transthoracic Echocardiography-Guided Assessment
Standard Transthoracic Echocardiography used to assess cardiac structure and function, serving as the reference standard for guiding clinical management in this study arm.
Locations (1)
Seoul National University Hospital
Seoul, South Korea