The goal of this observational and diagnostic study is to develop and validate an artificial intelligence assisted approach for coronary computer tomography angiography-(CCTA)-based screening and diagnosis of cardiomyopathies in patients with suspected coronary artery diseases. This study aims to develop a computerized CCTA interpretation using artificial intelligence for multi-label classification task to assist cardiomyopathy diagnosis in the clinical workflow.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Diagnostic performance
Timeframe: CCTA examination before surgical or interventional treatments.