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.
Public ClinicalTrials.gov record NCT07062848. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Official title
The Transthyretin Amyloid Cardiomyopathy Early Detection With Artificial Intelligence (TRACE-AI) Network Study
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
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).
Study identification
- NCT ID
- NCT07062848
- Recruitment status
- Active, not recruiting
- Study type
- Observational
- Phase
- Not listed
- Enrollment
- 1,500,000 participants
Conditions and interventions
Conditions
Eligibility (public fields only)
- Age range
- 50 Years to 95 Years
- Sex
- All
- Healthy volunteers
- Healthy volunteers not accepted
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Jan 24, 2025 (Actual)
- Primary completion
- Jan 2027 (Estimated)
- Completion
- Jan 2027 (Estimated)
- Last update posted
- Jul 29, 2026
2025 – 2027
United States locations
- U.S. sites
- 12
- U.S. states
- 10
- U.S. cities
- 12
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| University of California - San Francisco (UCSF) Health | San Francisco | California | 94143 | — |
| Yale New Haven Health System | New Haven | Connecticut | 06519 | — |
| The University of Chicago | Chicago | Illinois | 60637 | — |
| Henry Ford Health | Detroit | Michigan | 48202 | — |
| Mount Sinai | New York | New York | 10029 | — |
| Montefiore | The Bronx | New York | 10467 | — |
| Providence Health | Tigard | Oregon | 97224 | — |
| Medical University of South Carolina (MUSC) Health | Charleston | South Carolina | 29425 | — |
| UT Southwestern Medical Center | Dallas | Texas | 75390 | — |
| Houstin Methodist | Houston | Texas | 77030 | — |
| University of Virginia School of Medicine | Charlottesville | Virginia | 22903 | — |
| University of Washington Medicine | Seattle | Washington | 98195 | — |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT07062848, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Jul 29, 2026 · Synced Oct 22, 2026
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Open the official record
The complete public registry record, listed eligibility criteria, and available contact information for NCT07062848 live on ClinicalTrials.gov.