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Safety and Efficacy Study of AI Wall Thickness Measurement (EchoNet-LVH-RCT)

NCT05791227 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 4000

Last updated 2025-02-20

No results posted yet for this study

Summary

To determine whether an integrated AI decision support can save time and improve accuracy of assessment of echocardiograms, the investigators are conducting a blinded, randomized controlled study of AI guided measurements of wall thickness in parasternal long axis view compared to sonographer measurements in preliminary readings of echocardiograms.

Conditions

Interventions

DIAGNOSTIC_TEST

Sonographer Evaluation

A sonographer will assess measurements of left ventricular diameter during diastole (LVIDd), intraventricular septum thickness during diastole (IVSd) and left ventricular posterior wall thickness during diastole (LVPWd).

DIAGNOSTIC_TEST

AI Evaluation

An AI model will assess measurements of left ventricular diameter during diastole (LVIDd), intraventricular septum thickness during diastole (IVSd) and left ventricular posterior wall thickness during diastole (LVPWd).

Sponsors & Collaborators

  • Cedars-Sinai Medical Center

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
TRIPLE
Model
PARALLEL

Eligibility

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

Timeline & Regulatory

Start
2025-04-01
Primary Completion
2025-11-01
Completion
2025-11-01

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Entities

Diseases

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 NCT05791227 on ClinicalTrials.gov