AI assistant could help doctors catch more fractures
NCT ID NCT07421791
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether an AI software called RBfracture helps clinicians better identify fractures, dislocations, and joint fluid buildup on X-rays. Sixteen doctors will review X-rays from 415 adult patients with and without the AI's help. The goal is to see if the AI improves diagnostic accuracy and reduces 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
- RBfracture (AI decision support software)
- What this could lead to
- If successful, this AI tool could help doctors spot fractures and dislocations more accurately, reducing missed injuries in emergency and primary care.
- What could go wrong
- This is a relatively small, early-stage validation study. The software may not improve accuracy for all clinicians or in real-world settings, and AI errors could still occur.
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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About 415 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Feb 2026
An estimate. Start dates often move.
- Expected to finish
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Apr 2026
An estimate. End dates often move.
- 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
X-ray exams of adult patients suspected of having trauma-related musculoskeletal injuries.
- Ages
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22 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
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: * XR exams of a patient ≥22 years of age following a recent acute musculoskeletal trauma. * Modality is digitally acquired radiographs (Computed Radiography or Digital Radiography) Exclusion Criteria: * XR exam types that are outside of the intended use (e.g., chest, abdomen, facial bones, cervical spine). * Exams with missing patient age. * Exams from follow-up patient examinations, e.g., post-surgical controls or evaluation of fracture healing. * Any exams containing radiographs previously used in software development. * Exams containing additional radiographs that are incoherent with the XR exam type (e.g., wrist radiograph in a hip and pelvis exam type). * Radiograph views that are unsupported. * Poor radiographic image quality, rendering radiograph clinically unsuitable (e.g., inappropriate selection of technical exposure factors, patient motion, presence of artefacts, and improper collimation of the radiographic beam).
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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.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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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.
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