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AI takes on hip pain: could a computer spot impingement before it worsens?

NCT ID NCT07737223

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 30, 2026 · Last updated Jul 31, 2026 · Updated 1 time

Summary

This study is developing and testing artificial intelligence models to screen for and diagnose femoroacetabular impingement syndrome (FAIS), a leading cause of hip pain in young adults that often goes undetected. The AI combines patient-reported symptoms and physical exam findings with measurements from hip X-rays. Researchers are evaluating how well the models perform compared to doctors, using data from over 2,600 patients across multiple hospitals and community groups.

What this could mean

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

What this could lead to
If successful, this AI tool could help primary care doctors and patients identify hip impingement earlier, potentially preventing progression to osteoarthritis.
What could go wrong
The AI models are still experimental and may not perform well across all patient groups. They rely on X-rays and clinical data, which may miss some cases.

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

2,617 people

The number who actually took part.

Started

Jan 2019

Finished

Dec 2025

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

Patients aged 12 years and older who presented with hip pain and underwent hip X-ray examination at the participating institutions between January 2019 and November 2025.

Ages

12 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 presenting to the outpatient clinic with a chief complaint of hip pain Meeting preliminary clinical suspicion of hip pathology (based on history and physical examination) Willing and able to provide written informed consent Exclusion Criteria: Groin or thigh hematoma, or abdominal/pelvic masses (identified on physical examination or imaging) Non-musculoskeletal conditions causing hip-region pain (e.g., urinary tract disorders, gynecological conditions) Signs of active infection (fever with elevated C-reactive protein) Incomplete or substandard clinical or imaging data (e.g., poor-quality radiographs, missing key variables)

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Conditions

The condition(s) this trial relates to.

Femoracetabular Impingement

As listed by the trial registrant

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

Contacts and locations

Locations

  • The Fourth Medical Center of Chinese PLA General Hospital

    Beijing, Beijing Municipality, China

More trials for these conditions

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