Clin2
NCT06748261Possibly a fitNot yet recruiting

AI heart scan screening for cardiomyopathy

Cardiovascular DiseasesHypertrophic Cardiomyopathy (HCM)Dilated Cardiomyopathy (DCM)Restrictive CardiomyopathyAmyloid CardiomyopathyIschemic CardiomyopathyArrhythmogenic Right Ventricular CardiomyopathyMyocarditis

Part of Brain & nervous system, Genetic & congenital, Heart & circulation, Hormones & metabolism clinical trials.

This study uses artificial intelligence (AI) to look at heart CT scans (coronary CT angiograms) to help spot different types of cardiomyopathy (diseases of the heart muscle) earlier and more accurately. If you have a cardiomyopathy and have had a heart CT scan before any surgery or device placement, this study may help improve diagnosis and treatment planning.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
5,000 people
Ages
Any age
Study type
Observational

Who can take part

  • You must have a diagnosis of a type of cardiomyopathy (a heart muscle disease) — or, for the control group, no known heart disease at all.
  • You need to have had at least one coronary CT angiogram (a special CT scan of the heart's blood vessels) before any heart surgery or implantable device placement.
  • Any heart surgery or implantable device must have been done after your CT scan, not before.
  • Your cardiomyopathy diagnosis should be clear and not caused by another disease in the body.
  • If you are in the control group, you must not have any history of heart attack, heart surgery, stent, or implantable defibrillator.

View the official record on ClinicalTrials.gov

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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