Using AI to spot heart muscle disease on echocardiograms
Part of Brain & nervous system, Genetic & congenital, Heart & circulation, Hormones & metabolism clinical trials.
This study at Mayo Clinic is testing an artificial intelligence (AI) tool that analyzes echocardiograms (ultrasound of the heart) to find early signs of four types of heart muscle disease. If the AI flags a high-risk pattern, doctors can learn whether acting on that alert helps catch the condition sooner.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You are a doctor, nurse, or other clinician who orders or interprets echocardiograms at a Mayo Clinic site.
- Your patient is 18 or older and is having a full echocardiogram (called a TTE).
- The AI analysis of the echo shows a high risk for one of these conditions: genetic cardiomyopathy, ischemic cardiomyopathy, cardiac amyloidosis, or hypertrophic cardiomyopathy.
- Your patient has NOT already been diagnosed with the condition the AI flagged.
- Your patient is not in hospice care and is expected to live more than one year.
- Your patient has agreed to allow their medical information to be used for research.
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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