The TRACE-AI Diagnostic Study will evaluate the performance of artificial intelligence (AI) models applied to electrocardiograms (AI-ECG) and echocardiograms (AI-Echo) to identify transthyretin amyloid cardiomyopathy (ATTR-CM) in adults with heart failure. Model performance will be validated through comparison with technetium-99m pyrophosphate (PYP) imaging results.
Study Type
OBSERVATIONAL
Enrollment
150
AI-based sequential screening approach for ATTR-CM
Yale New Haven Health System
New Haven, Connecticut, United States
Performance of the sequential screening approach
Measured by the positive predictive value (PPV) of the test for ATTR-CM, based on confirmatory imaging and clinical testing
Time frame: From enrollment through completion of PYP scan at baseline study visit
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