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AI-Powered ultrasound could spot hidden heart valve disease in minutes

NCT ID NCT06717373

Diagnosis Sponsor: Caption Health, Inc. 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
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 14, 2026 · Last updated Jul 15, 2026 · Updated 1 time

Summary

This trial evaluates an artificial intelligence algorithm, AutoAS, that analyzes ultrasound images of the heart to detect aortic stenosis — a narrowing of the heart's main valve. Researchers will collect images from adults scheduled for a standard echocardiogram and test how well the AI identifies moderate or severe valve disease. If accurate, this approach could allow doctors to diagnose aortic stenosis quickly and easily at the point of care.

What this could mean

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

Active substance
an artificial intelligence algorithm called AutoAS that analyzes echocardiographic images to detect aortic stenosis
What this could lead to
If successful, this AI tool could help doctors quickly and accurately diagnose aortic stenosis at the bedside, potentially speeding up treatment decisions.
What could go wrong
This is a small, early-stage study testing the algorithm on stored images, not in real-time use. The AI may not perform as well in broader or more diverse 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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

63 people

The number who actually took part.

Started

Feb 2025

Finished

May 2025

Lead sponsor

A company

The lead sponsor is a pharmaceutical, biotech, or medical-device company.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

18 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: * Patients scheduled for an echocardiographic examination * Patients ≥18 years old * Patient with known or suspected valve disease based on medical history Exclusion Criteria: * Patients with artificial aortic valves * Unable to lie flat for study * Patients experiencing a known or suspected acute cardiac event * Patients unwilling or unable to give written informed consent

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Conditions

The condition(s) this trial relates to.

aortic valve stenosis heart valve disorder

As listed by the trial registrant

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

Patients with an indication for an echocardiographic examination with suspicion of valcular heart disease

Contacts and locations

Locations

  • Northwestern University

    Chicago, Illinois, 60208, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.