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

Part of paid clinical trials in Rochester, Minnesota.

Sponsor
Mayo Clinic
Study ID
NCT07308704
Status
Recruiting
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Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • Transthoracic Echocardiography (TTE) — DIAGNOSTIC_TEST
    AI analysis of transthoracic echocardiography to improve disease detection.

Study Details

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 Dates

Start date
Feb 26, 2026
Status verified
Apr 2026
Primary completion
Feb 29, 2028
Completion
Feb 29, 2028

Study Design

Enrollment
10,040,000 participants (estimated)

Arms

  • Arm: Genetic cardiomyopathy arm
  • Arm: Ischemic cardiomyopathy arm
  • Arm: Cardiac amyloidosis arm
  • Arm: Hypertrophic cardiomyopathy (HCM) arm

Primary Outcome Measure

Number of patients diagnosed with genetic cardiomyopathy confirmed by genetic testing [ Time Frame: Baseline ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Mayo ClinicRochesterMinnesota55905
Tim Poterucha, M.D.
[email protected]
507-284-2129
Tim Poterucha, M.D. (PRINCIPAL_INVESTIGATOR)

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