Observational Study of AI for Echo Analysis in Heart Conditions
This study is looking at how artificial intelligence (AI) can help doctors better understand echocardiograms (heart ultrasounds) and diagnose heart conditions like cardiomyopathy (a disease of the heart muscle), ischemic heart disease (heart problems caused by narrowed arteries), and cardiac amyloidosis (a condition where abnormal proteins build up in the heart). The study will use AI analysis of transthoracic echocardiography (TTE) to see if it improves disease detection. Doctors and other healthcare staff who order and interpret echocardiograms for patients aged 18 and older at Mayo Clinic sites, and whose patients have a high risk for genetic cardiomyopathy based on AI-Echo analysis, may be involved. The main goals are to see how easy the AI is for clinicians to use, if it helps them interpret results consistently, and if it fits well into their work. It also aims to see if using AI leads to more diagnostic testing and quicker diagnoses.
- Study design
- This is an observational study with a planned enrollment of 10,040,000 participants. It will use a stepped-wedge clinical trial design with multiple arms.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The study measures diagnoses of genetic cardiomyopathy, obstructive coronary artery disease, and cardiac amyloidosis at baseline.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
A Study Of Deep Learning For Echo Analysis, Tracking, And Evaluation
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Tim Poterucha, M.D. · PRINCIPAL_INVESTIGATOR · Mayo Clinic
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Number of patients diagnosed with genetic cardiomyopathy confirmed by genetic testingBaseline
Number of patients in the genetic cardiomyopathy arm who have a confirmed diagnosis of genetic cardiomyopathy based on genetic testing. Confirmation requires identification of a pathogenic or likely pathogenic variant in a cardiomyopathy-associated gene.
- Number of patients diagnosed with obstructive coronary artery diseaseBaseline
Number of patients diagnosed with obstructive coronary artery disease in the ischemic cardiomyopathy arm, defined as ≥70% stenosis in any epicardial vessel, ≥50% in the left main coronary artery on coronary CTA or invasive angiography, or evidence of ≥3 ischemic myocardial segments on stress testing or high-risk perfusion features such as transient ischemic dilation.
- Number of patients diagnosed with cardiac amyloidosisBaseline
Number of patients diagnosed with cardiac amyloidosis in the cardiac amyloidosis arm confirmed by consensus criteria, both imaging- and pathology-based amyloidosis diagnostic pathways.
- Number of patients diagnosed with hypertrophic cardiomyopathyBaseline
Number of patients diagnosed with hypertrophic cardiomyopathy in the hypertrophic cardiomyopathy (HCM) arm according to standard guideline-based criteria (e.g., unexplained LV wall thickness ≥15 mm, or ≥13 mm in first-degree relatives, in the absence of other causes of hypertrophy).