AI takes on doctors in fracture detection showdown
NCT ID NCT07329881
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study compares an artificial intelligence (AI) algorithm's ability to detect broken bones on X-rays with that of doctors, including residents and specialists. About 500 X-rays from emergency patients with suspected fractures will be reviewed by both the AI and human readers. The goal is to see if the AI can accurately identify fractures, which could help speed up diagnosis in busy emergency rooms.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 500 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Nov 2025
- Expected to finish
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Mar 2026
An estimate. End dates often move.
- Lead sponsor
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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
Study Population and Eligibility Criteria Inclusion Criteria: Standard radiographs performed for suspected bone trauma (upper limbs, lower limbs, pelvis/hip, cervical/thoracolumbar spine) in the emergency setting. Adult and pediatric patients (informed consent by patient or legal guardian for minors). Acute trauma context. Exclusion Criteria: Poor-quality images (motion artifact, underexposure preventing diagnostic interpretation). Cases lacking senior interpretation for gold standard reference. Patients referred with radiographs performed outside the hospital (external facilities).
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Standard radiographs performed for suspected bone trauma (upper limbs, lower limbs, pelvis/hip, cervical/thoracolumbar spine) in the emergency setting. * Adult and pediatric patients (informed consent by patient or legal guardian for minors). * Acute trauma context. Exclusion Criteria: * Poor-quality images (motion artifact, underexposure preventing diagnostic interpretation). * Cases lacking senior interpretation for gold standard reference. * Patients referred with radiographs performed outside the hospital (external facilities).
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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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CHU sahloul
Sousse, Tunisia
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Other studies related to the condition(s) this trial covers.
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