AI spots broken bones better than doctors alone?
NCT ID NCT06644391
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
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600 people
The number who actually took part.
- Started
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Mar 2023
- Finished
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Jul 2024
- Lead sponsor
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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
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1 year and older
- Sex
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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 Hide 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
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Nemocnice ve Frýdku-Místku, p.o.
Frýdek-Místek, Moravian-Silesian Region, 73801, Czechia
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