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AI-Powered Electrocardiography for Diagnosis and Prognostic Prediction in Cardiovascular Disease (AI-CVD): Multicenter Retrospective Study

Study acronym: AI-CVD
StatusRecruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗

Record History

  1. Study First Submitted
Inha University Hospital
8 trials monitored
See all monitored trials
Heart Disease
8,786 trials monitored
See 412 trials at risk
Heart Failure
1,995 trials monitored
See 111 trials at risk
Coronary Artery Disease
1,615 trials monitored
See 70 trials at risk
and 1 more disease
This multicenter retrospective study aims to develop, validate, and clinically apply an artificial intelligence (AI)-powered electrocardiography (ECG) algorithm for the diagnosis and prognostic prediction of cardiovascular diseases, including coronary artery disease and heart failure. By utilizing encrypted raw 12-lead ECG text data and deep neural network models, the study evaluates the effectiveness of AI-enhanced ECG in detecting cardiac abnormalities and predicting clinical outcomes.
Trial Details
NCT Number NCT07856472
Lead Sponsor Inha University Hospital
Conditions
(from sponsor)		 Cardiovascular Diseases, Coronary Artery Disease, Heart Failure, Atrial Fibrillation (AF), Ventricular Hypertrophy
Related terms Atrial Fibrillation, Cardiovascular Diseases, Coronary Artery Disease, Heart Failure
Enrollment 10,000 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov