AI ECHO INSIGHT RCT for Automated Echo Reporting
Enrolling by invitation · Not applicable
Conditions studied: Echocardiography, Transthoracic, Echocardiographic Software
In brief
The goal of this blinded randomized controlled trial is to assess whether AI-assisted TTE interpretation can improve cardiologist efficiency and reduce interpretation variability while preserving accuracy compared to current methods in adult patients whose historical echocardiogram images were performed. The main questions it aims to answer is to: 1. Assess overall transthoracic echocardiogram (TTE) interpretation accuracy of an AI-assisted workflow compared to standard cardiologist-only and sonographer-assisted workflows to hypothesize if AI-assisted workflow for echocardiography interpretation is non-inferior in accuracy compared to standard workflows. 2. Evaluate cardiologist interpretation time using an AI-assisted workflow compared to standard cardiologist-only and sonographer-assisted workflows to determine if an AI-assisted workflow will result in a decrease in interpretation time compared to the cardiologist-only workflow. 3. To compare interpretation consistency and reliability compared to historical reports as well as consensus reports of all finalized cardiologist reports.
Key facts
- Study ID
- NCT07229300
- Run by
- Kaiser Permanente
- People needed
- 1200
- Starts
- 2025-11-01
- Expected to finish
- 2026-08-20
- Last updated by the study team
- 2026-08-06
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- ≥ 18 years of age
- Comprehensive transthoracic echocardiogram study performed a KPNC Medical Center.
You may not qualify if…
- Known Congenital heart disease study
- Known Ventricular assist device
- Limited transthoracic echocardiogram study
- Transesophageal echocardiogram study
- Stress echocardiogram study
Where it is running
- Kaiser Permanente Northern California Division of Research — Pleasanton, California, United States
Full record on ClinicalTrials.gov
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