Yale New Haven Health System
New Haven, Connecticut, 06519, United States
Location status: Recruiting
Location contact
Rohan Khera, MD, MS
CONTACT
Rohan Khera, MD, MS
PRINCIPAL_INVESTIGATOR
NCT Number: NCT07398950
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.
Interested in participating?
Request Info18 year and older
All sexes
Observational
New Haven, Connecticut, 06519, United States
Location status: Recruiting
Rohan Khera, MD, MS
CONTACT
Rohan Khera, MD, MS
PRINCIPAL_INVESTIGATOR
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
AI-based sequential screening approach for ATTR-CM
Time frame: From enrollment through completion of PYP scan at baseline study visit
Measured by the positive predictive value (PPV) of the test for ATTR-CM, based on confirmatory imaging and clinical testing
Contact information is provided by the study sponsor or research team.
Yale University
Other
Prospective Evaluation of Artificial Intelligence-enabled Screening for Transthyretin Amyloid Cardiomyopathy (ATTR-CM): TRACE-AI Prospective Study
Acronym: TRACE-AI Yale
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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