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AI-Based Differential Diagnosis and Localization of Tachycardia Using ECG: Multicenter Registry (EP-AI ASSIST)

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

Record History

  1. Study First Submitted
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 NCT07859020
Lead Sponsor Inha University Hospital
Conditions
(from sponsor)		 Tachycardia, Paroxysmal Supraventricular Tachycardia, Wolff-Parkinson-White Syndrome, Premature Ventricular Contractions, Ventricular Tachycardia
Related terms Tachycardia, Tachycardia, Ventricular, Ventricular Premature Complexes, Wolff-Parkinson-White Syndrome
Enrollment 10,000 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov