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AI reads ultrasounds to spot twisted testicles in boys

NCT ID NCT07301086

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 tests whether an artificial intelligence (AI) program can help doctors better diagnose testicular appendix torsion—a painful condition in boys that can look like other emergencies. Researchers will feed thousands of ultrasound images into the AI and compare its accuracy to that of doctors working alone. If it works, the AI could reduce unnecessary surgeries and speed up correct treatment.

What this could mean

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

Active substance
Artificial intelligence (AI) software that analyzes ultrasound images
What this could lead to
If successful, this AI tool could help doctors quickly and accurately diagnose testicular appendix torsion in children, potentially reducing unnecessary surgeries.
What could go wrong
This is a retrospective study using existing data, not a live trial. The AI may not perform as well in real-world settings or with different ultrasound machines.

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 2,000 people

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

Expected to start

Jan 2026

An estimate. Start dates often move.

Expected to finish

May 2026

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

Age ≤ 18 years old,underwent ultrasound examination due to acute scrotal pain (≤ 24 hours)

Ages

1 minute to 18 years

Sex

Male participants only

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: 1. Age ≤ 18 years old 2. Underwent ultrasound examination due to acute scrotal pain (≤ 24 hours) 3. Patients clinically diagnosed with testicular appendage torsion (TAT) Exclusion Criteria: 1. Poor ultrasound image quality (failure to identify testicular structures) 2. Incomplete clinical data (failure to confirm the diagnosis of testicular appendage torsion \[TAT\])

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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.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    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

  • Children's Hospital of Zhejiang University School of Medicine

    Hangzhou, Zhejiang, 310000, China

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