# 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.

> **NCT07062848** · — · ACTIVE_NOT_RECRUITING · sponsor: **Yale University** · enrollment: 1500000 (estimated)

## Conditions studied

- Transthyretin (TTR) Amyloid Cardiomyopathy

## Interventions

- **DIAGNOSTIC_TEST:** AI Toolkit for ATTR-CM Diagnosis

## Key facts

- **NCT ID:** NCT07062848
- **Lead sponsor:** Yale University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ACTIVE_NOT_RECRUITING
- **Start date:** 2025-01-24
- **Primary completion:** 2027-01
- **Final completion:** 2027-01
- **Target enrollment:** 1500000 (ESTIMATED)
- **Last updated:** 2025-07-14

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07062848

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration 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.". Retrieved via AI Analytics 2026-06-25 from https://api.ai-analytics.org/clinical/NCT07062848. Licensed CC0.

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