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AI spots broken bones better than doctors alone?

NCT ID NCT06644391

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested an artificial intelligence (AI) program called Carebot AI Bones to see how well it finds fractures on X-rays. Researchers compared the AI's performance to that of experienced radiologists using 600 X-rays from both children and adults. The goal was to see if the AI could help doctors catch more fractures and reduce missed injuries.

What this could mean

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

Active substance
Carebot AI Bones software (deep learning algorithm)
What this could lead to
If successful, this AI could help radiologists catch more fractures, reducing missed injuries and improving patient care.
What could go wrong
This is a retrospective study, not a real-world test. The AI may not perform as well in busy clinics or on different X-ray 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

600 people

The number who actually took part.

Started

Mar 2023

Finished

Jul 2024

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.

Who is studied

The study includes a retrospective cohort of pediatric and adult patients who underwent musculoskeletal radiographs between March 20 and May 8, 2023, in a single-center hospital setting.

Ages

1 year 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 aged 1 year or older. * Musculoskeletal X-rays available in Digital Imaging and Communications in Medicine (DICOM) format. * At least one digital plain radiograph of an appendicular body part, including the foot, ankle, knee, hand, wrist, elbow, shoulder, or pelvis. Exclusion Criteria: * Poor radiographic quality that precludes human interpretation. * Radiographs of the lumbar, thoracic, and cervical spine, or facial/nasal bones. * Radiographs that do not meet the inclusion criteria for appendicular body parts.

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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.

Contacts and locations

Locations

  • Nemocnice ve Frýdku-Místku, p.o.

    Frýdek-Místek, Moravian-Silesian Region, 73801, Czechia

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