Electrocardiogram-based Artificial Intelligence-assisted Detection of Heart Disease

Status unconfirmed · Not applicable

Conditions studied: Atrial Fibrillation, Structural Heart Disease

In brief

Atrial fibrillation is an abnormal beating of the heart that can lead to stroke or heart failure. Structural heart diseases are conditions that affect the heart valves or heart muscle and can cause permanent heart damage if left untreated. Sometimes people have atrial fibrillation or structural heart disease and do not know it. The purpose of this study is to evaluate two devices that can predict who has or may develop atrial fibrillation or structural heart disease based on the results of an electrocardiogram.

Key facts

Study ID
NCT05442203
Run by
Tempus AI
People needed
1000
Starts
2022-09-07
Expected to finish
2025-07-01
Last updated by the study team
2024-07-25

Who can join

Age: 40 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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