Condition: Cardiomyopathy · Ischemic Heart Disease · Cardiac Amyloidosis · Sponsor: Mayo Clinic
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.
This description comes directly from the study's public registry record.
Tim Poterucha, M.D. · 507-284-2129 · poterucha.timothy@mayo.edu
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| Mayo Clinic | Rochester, Minnesota, United States | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07308704