Automated AI reading of echocardiograms to detect coronary artery disease

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

The project uses new ultrasound measures such as non-invasive myocardial work combined with automated image analysis to improve non-invasive detection of coronary artery disease. Researchers will train and apply deep-learning models to classify cardiac ultrasound views, perform automatic segmentation of the left ventricular cavity, myocardium, and left atrial wall using a CLAS model, and track motion to generate velocity vector maps of intracardiac flow. The automated diagnostic model will be validated and optimized by comparing AI outputs with coronary angiography results in patients with suspected coronary artery disease. The work is observational and focuses on cases with adequate image quality while excluding patients with major valvular disease, hypertrophic cardiomyopathy, or severe arrhythmias.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Patients with suspected coronary artery disease
* Patients plan to undergo coronary angiography

Exclusion Criteria:

* Patients with aortic valve stenosis
* Patients with aortic valve replacement surgery
* Patients with hypertrophic cardiomyopathy
* Patients with severe heart valve disease
* Patients with severe arrhythmia
* Patients with severe cardiomyopathy
* Patients with severe congenital heart disease
* The quality of ultrasound images is poor

Where it's running

• Beijing Hospital
  Beijing, China Recruiting

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.