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NOT YET RECRUITING
NCT07308704

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

Sponsor: Mayo Clinic

View on ClinicalTrials.gov

Summary

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.

Official title: DELINEATE-Deploy: Deep Learning for Echo Analysis, Tracking, and Evaluation - Prospective Deployment Platform IRB

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

10040000

Start Date

2026-02

Completion Date

2028-02

Last Updated

2025-12-30

Healthy Volunteers

No

Interventions

DIAGNOSTIC_TEST

Transthoracic Echocardiography (TTE)

AI analysis of transthoracic echocardiography to improve disease detection.

Locations (1)

Mayo Clinic

Rochester, Minnesota, United States