AI-ECG Screening for Left Ventricular Systolic Dysfunction

Seoul National University logo

Seoul National University

Status

Not yet enrolling

Conditions

Left Ventricular Systolic Dysfunction

Treatments

Diagnostic Test: AI algorithm conducted on 12-lead ECG and transthoracic echocardiography

Study type

Observational

Funder types

Other

Identifiers

NCT06231797
H-2306-083-1439

Details and patient eligibility

About

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.

Full description

The current investigators have developed an artificial intelligence (AI) algorithm based on 12-lead electrocardiogram (ECG) detecting left ventricular systolic dysfunction, through 364,845 ECGs from 148,547 patients. Then, when the model was tested retrospectively on 59,805 ECGs of 24,376 patients, the model performance expressed as an area under the receiver operating characteristic curve was 0.889 (95% CI 0.887-0.891). The investigators are planning to prospectively validate the model's effectiveness as a potential screening tool for left ventricular systolic dysfunction.

Enrollment

1,530 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Individuals or those whose legal representative agree to participate in the study, and sign the consent form
  • Can complete both 12-lead electrocardiogram and transthoracic echocardiography

Exclusion criteria

  • Individuals whose age is less than 18 year-old.
  • Individuals who do not agree to participate in the study
  • Patients who are unable to participate in clinical trials at the discretion of the investigator

Trial contacts and locations

0

Loading...

Central trial contact

Hak Seung Lee, MD

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2024 Veeva Systems