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

Recruitingn/aAges 18 Years - anyAllInha University Hospital
NCT07856472 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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.

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📋 Eligibility rules (as published)
Inclusion Criteria: * Patients aged 18 years or older diagnosed with cardiovascular diseases, including coronary artery disease and heart failure. * Patients with 12-lead electrocardiogram (ECG) records extractable as text (XML Exclusion Criteria: \- Patients deemed inappropriate as study subjects by the investigator's judgment
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What it tests

  • Retrospective ECG Data Analysis
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Where

1 site
Inha University Hospital
Incheon, South Korea
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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