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External Validation of Artificial Intelligence-enabled Electrocardiography (AI-ECG) for the Detection of Left Ventricular Dysfunction (LVD)

NCT07038018 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 12500

Last updated 2025-06-26

No results posted yet for this study

Summary

This is a multi-center, retrospective study evaluating the performance of an artificial intelligence-enabled electrocardiography (AI-ECG) algorithm in detecting reduced left ventricular ejection fraction (LVEF ≤ 40%). All included patients from participating hospitals must have undergone a digital 12-lead electrocardiogram (ECG) and an echocardiogram with assessment of LVEF within seven days. The AI-ECG algorithm will be applied to evaluate its diagnostic performance, which will be further assessed across subgroups stratified by demographic characteristics and clinical factors.

Conditions

  • Cardiac Disease

Interventions

DIAGNOSTIC_TEST

AI-ECG Algorithm

AI-ECG Algorithm to detect LVEF\<=40%

Sponsors & Collaborators

  • Tri-Service General Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-08-01
Primary Completion
2025-08-31
Completion
2025-09-30

Countries

  • Taiwan

Study Locations

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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 NCT07038018 on ClinicalTrials.gov