CompletedNot Applicable

Artificial Intelligence-assisted Diagnosis and Prognostication in Low Ejection Fraction Using Electrocardiograms

Taiwan13,631 participantsStarted 2021-12-09

Plain-language summary

This is a randomized controlled trial (RCT) to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of left ventricular systolic dysfunction.

Who can participate

Age range20 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Patients with EF\>50% or without Transesophageal Echocardiography (TEE) Exclusion Criteria: * Patients with a history of heart failure or an EF\<= 35%.

What they're measuring

New Diagnosis of Low Ejection Fraction(defined as ejection fraction ≤50%)

Timeframe: Within 30 days

Trial details

NCT IDNCT05117970

SponsorNational Defense Medical Center, Taiwan

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2023-05-31

View on ClinicalTrials.gov More Left Ventricular Systolic Dysfunction (Disorder) trials