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Can artificial intelligence predict heart valve disease progression?

NCT ID NCT06749132

Knowledge-focused Sponsor: Yale University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only This study
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study will enroll 210 adults aged 65 and older with early aortic stenosis (a heart valve narrowing) to see if an artificial intelligence tool can better predict how fast the disease worsens. Participants will have standard echocardiograms, and researchers will compare the AI's risk score to actual changes over time. The goal is to improve personalized monitoring and timing of potential treatments.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could lead to a more accurate way to monitor aortic stenosis progression, helping doctors decide when to intervene before symptoms worsen.
What could go wrong
This is an observational study, not a treatment trial. The AI tool may not prove reliable enough for widespread use, and results may not apply to all patient groups.

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

About 210 people

The number the study aims to enrol. It can still change while the study runs.

Started

May 2026

Expected to finish

Aug 2028

An estimate. End dates often move.

Lead sponsor

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

US adults aged 65 and older with an echocardiogram within the prior 2-3 years that showed aortic sclerosis without stenosis or mild aortic stenosis (AS).

Ages

65 years and older

Sex

Anyone

Healthy volunteers

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

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: 1. Age 65 years or older 2. Prior transthoracic echocardiogram within the past 2-3 years showing aortic sclerosis without stenosis or mild AS Exclusion Criteria: 1. Opted out of research studies 2. Non-English speaking 3. Any echocardiogram within 24 months of medical record review. 4. Prior history of aortic valve replacement or repair, including transcatheter and surgical AVR with either a bioprosthetic or mechanical valve 5. Presence of implantable cardiac devices, including permanent cardiac pacer, implantable cardioverter-defibrillator, or left ventricular assist device 6. Prior heart transplant 7. History of dementia 8. Unable to attend study visit at echocardiogram lab within four years of most recent echocardiogram. 9. Documented life expectancy of \<1 year or current participation in hospice services

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Conditions

The condition(s) this trial relates to.

aortic valve calcification aortic valve stenosis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Aortic stenosis

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    3 sites. The list below names each one and where it is.

  2. The official record

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

    Open the record ↗

  3. 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

  • Icahn School of Medicine at Mount Sinai

    New York, New York, 10029, United States

  • The Methodist Hospital Research Institute

    Houston, Texas, 77030, United States

  • Yale New Haven Health System

    New Haven, Connecticut, 06519, United States

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