Trials / Not Yet Recruiting
Not Yet RecruitingNCT05791227
Safety and Efficacy Study of AI Wall Thickness Measurement (EchoNet-LVH-RCT)
EchoNet-LVH-RCT: Blinded, Randomized Controlled Trial of Artificial Intelligence Guided Precision Assessment of Wall Thickness
- Status
- Not Yet Recruiting
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 4,000 (estimated)
- Sponsor
- Cedars-Sinai Medical Center · Academic / Other
- Sex
- All
- Age
- 18 Years – 100 Years
- Healthy volunteers
- Not accepted
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
| Type | Name | Description |
|---|---|---|
| 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). |
Timeline
- Start date
- 2025-04-01
- Primary completion
- 2025-11-01
- Completion
- 2025-11-01
- First posted
- 2023-03-30
- Last updated
- 2025-02-20
Source: ClinicalTrials.gov record NCT05791227. Inclusion in this directory is not an endorsement.