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Study identifier: NCT07062848 Synced from ClinicalTrials.gov · August 07, 2026
● Study status: Active Not Recruiting

An Observational Study Using Artificial Intelligence (AI) Algorithms on Electrocardiography (ECG), Point-of-care Ultrasound (POCUS), and Transthoracic Echocardiophy (TTE) to Estimate the Under-diagnosis of Transthyretin Amyloid Cardiomyopathy (ATTR-CM) Across a Diverse Range of US Health Systems.

Condition: Transthyretin (TTR) Amyloid Cardiomyopathy  ·  Sponsor: Yale University

PhaseN/A
Planned participants1500000
Who can joinAll sexes, 50 Years to 95 Years
Healthy volunteersNo

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About this study

This is a multi-center, observational study with the overall objective to examine the scale of under-diagnosis for transthyretin amyloid cardiomyopathy (ATTR-CM) across a broad range of diverse health systems in the US using a fully federated deployment of an artificial intelligence (AI) toolkit of algorithms that detect ATTR-CM on electrocardiography (ECG), point-of-care ultrasound (POCUS), and transthoracic echocardiography (TTE).

This description comes directly from the study's public registry record.

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Locations (12)

University of California - San Francisco (UCSF) HealthSan Francisco, California, United States
Yale New Haven Health SystemNew Haven, Connecticut, United States
The University of ChicagoChicago, Illinois, United States
Henry Ford HealthDetroit, Michigan, United States
Mount SinaiNew York, New York, United States
MontefioreThe Bronx, New York, United States
Providence HealthTigard, Oregon, United States
Medical University of South Carolina (MUSC) HealthCharleston, South Carolina, United States
UT Southwestern Medical CenterDallas, Texas, United States
Houstin MethodistHouston, Texas, United States
University of Virginia School of MedicineCharlottesville, Virginia, United States
University of Washington MedicineSeattle, Washington, United States

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