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ACTIVE NOT RECRUITING
NCT07062848

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.

Sponsor: Yale University

View on ClinicalTrials.gov

Summary

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).

Official title: The Transthyretin Amyloid Cardiomyopathy Early Detection With Artificial Intelligence (TRACE-AI) Network Study

Key Details

Gender

All

Age Range

50 Years - 95 Years

Study Type

OBSERVATIONAL

Enrollment

1500000

Start Date

2025-01-24

Completion Date

2027-01

Last Updated

2025-07-14

Healthy Volunteers

No

Interventions

DIAGNOSTIC_TEST

AI Toolkit for ATTR-CM Diagnosis

An artificial intelligence (AI) toolkit of algorithms that detect ATTR-CM on electrocardiography (ECG), point-of-care ultrasound (POCUS), and transthoracic echocardiography (TTE)

Locations (11)

University of California - San Francisco (UCSF) Health

San Francisco, California, United States

Yale New Haven Health System

New Haven, Connecticut, United States

Henry Ford Health

Detroit, Michigan, United States

Mount Sinai

New York, New York, United States

Duke Health

Durham, North Carolina, United States

Providence Health

Tigard, Oregon, United States

Medical University of South Carolina (MUSC) Health

Charleston, South Carolina, United States

UT Southwestern Medical Center

Dallas, Texas, United States

Houstin Methodist

Houston, Texas, United States

University of Virginia School of Medicine

Charlottesville, Virginia, United States

University of Washington Medicine

Seattle, Washington, United States