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AI-ECG Screening for Left Ventricular Systolic Dysfunction

NCT06231797 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1530

Last updated 2024-02-05

No results posted yet for this study

Summary

The purpose of the current study is to verify the effectiveness of the artificial intelligence algorithm applied to the electrocardiogram as a potential screening tool for left ventricular systolic dysfunction.

Conditions

  • Left Ventricular Systolic Dysfunction

Interventions

DIAGNOSTIC_TEST

AI algorithm conducted on 12-lead ECG and transthoracic echocardiography

12-lead ECG is performed for each patient. For 12-lead ECG, AITIALVSD (AI algorithm) analysis will be performed through a separate server.

Sponsors & Collaborators

  • Seoul National University Hospital

    lead OTHER

Principal Investigators

  • Seung-Pyo Lee, MD, PhD · Seoul National University Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-02-01
Primary Completion
2024-07-10
Completion
2025-07-10

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06231797 on ClinicalTrials.gov