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AI teaches doctors to see inside the body

NCT ID NCT05900440

Knowledge-focused Sponsor: Stanford 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

Stanford University is testing whether artificial intelligence can help medical interns learn to use ultrasound more effectively. In this study, 150 internal medicine residents will be randomly assigned to use a handheld ultrasound device with or without AI assistance. Researchers will measure how quickly they can capture heart images and how well they interpret them. The goal is to find better ways to train doctors in point-of-care ultrasound.

What this could mean

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

Active substance
handheld ultrasound device with artificial intelligence
What this could lead to
If it works, this could show that AI helps doctors-in-training learn ultrasound skills more quickly and accurately.
What could go wrong
This is a small, early-stage study focused on learning, not patient outcomes. The AI may not improve skills significantly, and results may not apply to other settings.

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

About 150 people

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

Started

Jun 2021

Expected to finish

Dec 2027

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.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: * Internal medicine residents rotating on the general inpatient wards service. Exclusion Criteria: * Residents who had taken an ultrasound elective offered by our residency program

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As listed by the trial registrant

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

Education, medical Ultrasound imaging

How to take part

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

  1. The places running it

    1 site. 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

  • Stanford University School of Medicine

    Stanford, California, 95403, United States

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