AI analysis of echocardiograms to identify severe low-gradient aortic stenosis

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

This is a prospective multicenter observational validation of an AI model that classifies transthoracic echocardiography images as severe versus moderate low-gradient aortic stenosis. About 300 adults with suspected significant low-gradient aortic stenosis who undergo clinically indicated echocardiography will be enrolled in 2025–2026. Standard imaging will be analyzed by the published AI model but results will not change clinical care; AI classifications will be compared with physicians' assessments to measure diagnostic accuracy and reproducibility. The goal is to determine how the model performs in real-world practice across sites and image quality variations.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Age ≥ 18 years
* Clinical suspicion of significant low-gradient aortic stenosis
* Echocardiographic examination performed for clinical indications
* Ability to provide informed consent

Exclusion Criteria:

* Previous aortic valve intervention (surgical or transcatheter)
* Inadequate image quality precluding echocardiographic analysis
* Concomitant severe valvular disease (severe mitral stenosis or mitral/aortic regurgitation) that could confound assessment
* Patients unwilling or unable to provide informed consent

Where it's running

• Department of Valvular Heart Disease, National Institute of Cardiology, Warsaw, Poland
  Warsaw, Masovian Voivodeship, Poland Recruiting

Study contacts

• Principal investigator: Michał Wrzosek, MD — Department of Valvular Heart Disease, National Institute of Cardiology, Warsaw, Poland
• Study coordinator: Michał Wrzosek, MD
• Email: mwrzosek@ikard.pl
• Phone: +48 22 3434189

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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.