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RECRUITING
NCT07843004
NA

Capitalizing on AI to CapTure Undiagnosed Structural Heart Disease

Sponsor: Pierre Elias

View on ClinicalTrials.gov

Summary

Doctors are testing a new tool called EchoNext to see if it can help find heart problems earlier. EchoNext looks at the heart's electrical test, called an ECG, and uses artificial intelligence (AI) to check for signs of structural heart disease (SHD). SHD includes conditions like weak heart pumping, heart valve problems, or extra thickening of the heart muscle. These problems are common but often go undiagnosed until they cause serious issues like heart failure or stroke. The main questions this study will answer are: Can EchoNext alerts help emergency doctors find hidden heart problems sooner? Does this lead to more follow-up heart tests, like an echocardiogram (heart ultrasound)? What this means for patients: If a person has an ECG in the Emergency Department, the EchoNext tool may be used to check their heart. If the tool finds something unusual, their doctor may receive an alert and may then recommend further heart tests or follow-up care. This study will help researchers learn if using EchoNext improves early diagnosis and treatment of heart disease.

Key Details

Gender

All

Age Range

40 Years - Any

Study Type

INTERVENTIONAL

Enrollment

4000

Start Date

2026-09-16

Completion Date

2028-06-01

Last Updated

2026-09-25

Healthy Volunteers

No

Interventions

DEVICE

EHR Alert

EKG Algorithm to identify structural heart disease

Locations (1)

Columbia University Irving Medical Center / NewYork-Presbyterian

New York, New York, United States