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AI matches orthopaedic residents in reading complex hip fractures

NCT ID NCT07673991

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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 29, 2026 · Last updated Jun 30, 2026 · Updated 1 time

Summary

This study tests whether ChatGPT-4o, an artificial intelligence model, can accurately classify acetabular (hip socket) fractures from standard X-rays. Researchers compared the AI's diagnoses to those of two orthopaedic residents, using CT scans and surgical findings as the gold standard. The goal is to see if AI can serve as a reliable decision-support tool for doctors in emergency settings.

What this could mean

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

Active substance
ChatGPT-4o (artificial intelligence model)
What this could lead to
If successful, this could show that AI can help doctors quickly and accurately classify complex fractures, potentially improving surgical planning and reducing errors.
What could go wrong
This is a small, retrospective study using only one AI model. The AI may not perform as well in real-world settings or with different types of X-rays.

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

184 people

The number who actually took part.

Started

Feb 2026

Finished

May 2026

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

The study population consists of 184 patients who presented to Ankara Bilkent City Hospital with pelvic injuries and underwent surgical treatment. The cohort includes individuals with various acetabular fracture patterns requiring the Letournel-Judet classification system for preoperative planning. Excluded populations were patients with non-acetabular pelvic fractures, incomplete radiographic series, poor image quality, or a history of previous pelvic surgery or trauma.

Ages

18 years 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 older than 18 years old and presenting with pelvic injuries and undergoing surgical treatment. Exclusion Criteria: * Patients with pelvic injuries but with non-acetabular fractures, those with incomplete imaging, those with poor radiographic quality or those who had previously undergone pelvic surgery or trauma were excluded.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Ankara Bilkent Şehir Hastanesi

    Ankara, Çankaya, 06210, Turkey (Türkiye)

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