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Safety and Efficacy Study of AI Wall Thickness Measurement (EchoNet-LVH-RCT)
Sponsor: Cedars-Sinai Medical Center
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.
Official title: EchoNet-LVH-RCT: Blinded, Randomized Controlled Trial of Artificial Intelligence Guided Precision Assessment of Wall Thickness
Key Details
Gender
All
Age Range
18 Years - 100 Years
Study Type
INTERVENTIONAL
Enrollment
4000
Start Date
2025-04-01
Completion Date
2025-11-01
Last Updated
2025-02-20
Healthy Volunteers
No
Conditions
Interventions
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).
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).