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Taking people in South KoreaNo phase

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

Key facts

Where
Incheon, South KoreaSee the site

Where in South Korea

  • Inha University HospitalIncheon, South KoreaTaking people

Questions to ask the study team

  1. How often do I need to come in, and for how long each time?
  2. Are travel costs paid?
  3. Can I keep my own doctor?
  4. What happens if I want to stop?
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Trial details

Who runs it
Inha University Hospital
Trial code
NCT07856472
Record updated
2 October 2026
Original description
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.Read full original descriptionShow less

Research for the Development and Clinical Application of Artificial Intelligence-powered Electrocardiography for Diagnosis and Prognostic Prediction in Cardiovascular Disease (AI-CVD): Multicenter Retrospective Study

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.

Inclusion: 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: Patients deemed inappropriate as study subjects by the investigator's judgment.

ClinicalTrials.gov NCT07856472