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

NCT07308704 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 10040000

Last updated 2026-04-16

No results posted yet for this study

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.

Conditions

Interventions

DIAGNOSTIC_TEST

Transthoracic Echocardiography (TTE)

AI analysis of transthoracic echocardiography to improve disease detection.

Sponsors & Collaborators

Principal Investigators

  • Tim Poterucha, M.D. · Mayo Clinic

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-02-26
Primary Completion
2028-02-29
Completion
2028-02-29

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07308704 on ClinicalTrials.gov