AI-Based Differential Diagnosis and Localization of Tachycardia Using ECG: Multicenter Registry (EP-AI ASSIST)
Condition(s) studied
Investigational drug(s) / intervention(s)
AI-based ECG Diagnostic and Localization Algorithm: Application of a deep learning-based 12-lead electrocardiogram (ECG) algorithm to analyze raw text data for the differential diagnosis and localization of tachycardias, including PSVT, WPW syndrome, PVC, and VT\[cite: 1\].
Study summary
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.
Eligibility
Primary outcome measure(s)
- Diagnostic Performance (AUC-ROC) of AI-ECG Models — Baseline
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| Inha University Hospital | Incheon | Incheon | Recruiting |
More Inha University Hospital trials in South Korea
Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07859020 on ClinicalTrials.gov ↗ ← All trials in South Korea