AI reads heart scans to catch hidden disease earlier
NCT ID NCT07308704
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether artificial intelligence can help doctors interpret echocardiograms (heart ultrasounds) more accurately and quickly. Researchers at Mayo Clinic will deploy AI algorithms to flag signs of genetic cardiomyopathy, ischemic heart disease, and cardiac amyloidosis. The goal is to see if AI use leads to more confirmed diagnoses and shorter time to diagnosis. Over 10 million participants are expected, making this a very large real-world evaluation.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- AI analysis of echocardiograms
- What this could lead to
- If successful, this could speed up diagnosis of serious heart conditions and help doctors catch diseases earlier.
- What could go wrong
- This is an early deployment study focused on usability and workflow, not a treatment trial. The AI may not improve diagnosis rates or could lead to unnecessary testing.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 10,040,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Feb 2026
- Expected to finish
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Feb 2028
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Clinicians who order, perform, and interpret echocardiograms and act on echocardiogram results, including both physicians and allied health staff taking care of patients aged ≥18 years.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion criteria: * Genetic cardiomyopathy arm: Clinicians who order, perform, and interpret echocardiograms and act on echocardiogram results, including both physicians and allied health staff taking care of patients aged ≥18 years who are undergoing a comprehensive TTE at a participating Mayo Clinic site with AI-Echo analysis indicating high risk for a genetic cardiomyopathy. A high-risk score will be defined by a specific threshold determined in model development to maximize sensitivity while maintaining an adequate positive predictive value to support clinical deployment * Ischemic cardiomyopathy arm: Clinicians who order, perform, and interpret echocardiograms and act on echocardiogram results, including both physicians and allied health staff taking care of patients aged ≥18 years who are undergoing a comprehensive TTE with AI-Echo analysis indicating high risk for ischemic cardiomyopathy. A high-risk score will be defined by a specific threshold determined in model development to maximize sensitivity while maintaining an adequate positive predictive value to support clinical deployment. * Cardiac amyloidosis arm: Clinicians who order, perform, and interpret echocardiograms and act on echocardiogram results, including both physicians and allied health staff taking care of patients aged ≥18 years who are undergoing a comprehensive TTE with AI-Echo analysis indicating high risk for cardiac amyloidosis. A high-risk score will be defined by a specific threshold determined in model development to maximize sensitivity while maintaining an adequate positive predictive value to support clinical deployment. * Hypertrophic cardiomyopathy (HCM) arm: Clinicians who order, perform, and interpret echocardiograms and act on echocardiogram results, including both physicians and allied health staff caring for patients aged ≥18 years who are undergoing a comprehensive TTE at a participating Mayo Clinic site, with AI-Echo analysis indicating high risk for HCM. A high-risk score will be defined by a specific threshold determined during model development to maximize sensitivity while maintaining adequate positive predictive value for clinical deployment. Exclusion criteria: * Genetic cardiomyopathy arm: Studies performed within the past 2 years at a Mayo site or in those patients with known or suspected diagnosis of genetic cardiomyopathy under evaluation, on hospice care, or who have an expected non-cardiac life expectancy \<1 year, and patients who have opted out of institutional and state research authorizations. * Ischemic cardiomyopathy arm: Studies performed within the past 2 years at a Mayo site or in those patients with known CAD; prior myocardial infarction; revascularization with PCI or CABG; ischemic testing within the past 12 months; hospice care or expected non-cardiac life expectancy \<1 year, and patients who have opted out of institutional and state research authorizations. * Cardiac amyloidosis arm: Studies performed within the past 2 years at a Mayo site or in those patients with prior amyloid-specific testing (e.g., technetium pyrophosphate scan, cardiac MRI with late gadolinium enhancement suggestive of amyloid) or biopsy-proven systemic amyloidosis, on hospice care, or have expected non-cardiac life expectancy \<1 year, and patients who have opted out of institutional and state research authorizations. * Hypertrophic cardiomyopathy (HCM) arm: Studies performed within the past 2 years at a Mayo site or patients with a known diagnosis of HCM documented in the medical record prior to the index TTE, prior septal reduction therapy (surgical myectomy or alcohol septal ablation), or patients on hospice care or with an expected non-cardiac life expectancy \<1 year, and patients who have opted out of institutional and state research authorizations.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Mayo Clinic
RECRUITINGRochester, Minnesota, 55905, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- 10,000 nurses tracked to uncover chronic disease triggers
- Can AI read fused PET and MRI scans to forecast survival in a rare heart disease?
- Can heart surgery rehab move from hospital to home?
- Can a single scan reveal hidden amyloid deposits across the body?
- Can a catheter slice thick heart muscle without open surgery?