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AI-ECG Screening for Left Ventricular Systolic Dysfunction

Left Ventricular Systolic Dysfunction Clinical Trial

Official title:
AI-ECG Screening for Left Ventricular Systolic Dysfunction: A Prospective, Observational, Multicenter Study

Clinical Trial 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.

Clinical Trial 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. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06231797
Study type Observational
Source Seoul National University Hospital
Contact Hak Seung Lee, MD
Phone +1-771-216-0764
Email cardiolee@gmail.com
Status Not yet recruiting
Phase
Start date February 1, 2024
Completion date July 10, 2025
View Details
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