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ECG AI-Guided Screening for Low Ejection Fraction

NCT04000087 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 358

Last updated 2023-05-31

No results posted yet for this study

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.

Conditions

  • Asymptomatic Left Ventricular Systolic Dysfunction (Disorder)
  • Heart Failure

Interventions

OTHER

AI-enabled ECG-based Screening Tool

A novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of left ventricular systolic dysfunction.

Sponsors & Collaborators

Principal Investigators

  • Xiaoxi Yao, PhD, MPH · Mayo Clinic

  • Peter Noseworthy, MD · Mayo Clinic

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-06-26
Primary Completion
2020-03-31
Completion
2020-11-01

Countries

  • United States

Study Locations

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Entities

Diseases
Companies

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 NCT04000087 on ClinicalTrials.gov