AI reads heart scans to spot hidden valve disease
NCT ID NCT07144189
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests an artificial intelligence (AI) tool to help doctors accurately diagnose severe low-gradient aortic stenosis, a heart valve condition that can be hard to identify. About 300 adults with suspected disease will have their standard echocardiograms analyzed by the AI, but results won't change their care. The goal is to see if AI can improve diagnostic accuracy and guide better treatment decisions.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 300 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Aug 2025
- Expected to finish
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Aug 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population will include adult patients (≥18 years) diagnosed in the Echocardiography Laboratory of the National Institute of Cardiology in Warsaw, Department of Valvular Heart Disease. Eligible participants will be those referred for echocardiographic evaluation due to clinical suspicion of significant low-gradient aortic stenosis. Standard-of-care imaging performed for clinical indications will be analyzed. Approximately 300 patients are expected to be enrolled between 2025 and 2026. Patients with previous aortic valve intervention (surgical or transcatheter) or other exclusion criteria will not be included.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
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
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Department of Valvular Heart Disease, National Institute of Cardiology, Warsaw, Poland
RECRUITINGWarsaw, Masovian Voivodeship, Poland
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- AI turns routine heart tracings into an early warning for a silent valve disease
- Can a new heart valve offer a safer fix for aortic stenosis?
- Can Open-Heart surgery outperform a Tube-Based valve fix?
- Can a new heart valve restore quality of life?
- Does replacing a heart valve clear fluid from the lungs?
- AI ultrasound could unmask silent heart disease in seniors