A Study Of Deep Learning For Echo Analysis, Tracking, And Evaluation

Recruiting now

Conditions studied: Cardiomyopathy, Ischemic Heart Disease, Cardiac Amyloidosis

In brief

The purpose of this study is to deploy and evaluate informational AI-Echo algorithms that assist echo clinicians in interpreting core echocardiographic parameters (e.g., LV/RV size and function, valvular disease severity) and stratifying disease progression risk. The primary outcome is clinician usability, interpretive consistency, and workflow integration. Second, we will conduct a pragmatic, stepped-wedge clinical trial with multiple arms evaluating diagnostic AI-Echo algorithms designed to identify specific cardiovascular diseases- such as genetic cardiomyopathy, ischemic heart disease, and cardiac amyloidosis-and assess whether AI deployment increases diagnostic testing and shortens time to diagnosis. Trials will be conducted using EHR-based notification systems with cluster-level randomization.

Key facts

Study ID
NCT07308704
Run by
Mayo Clinic
People needed
10040000
Starts
2026-02-26
Expected to finish
2028-02-01
Last updated by the study team
2026-04-16

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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