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AI takes on arthritis: could computers Out-Diagnose doctors?

NCT ID NCT07153315

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 This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026 · Last updated Jun 26, 2026

Summary

This study will test whether artificial intelligence can accurately tell the difference between inflammatory arthritis (like rheumatoid arthritis) and degenerative arthritis (like osteoarthritis) in people aged 60 and older. Researchers will compare the AI's analysis of X-rays, MRIs, or ultrasounds against expert rheumatologists' diagnoses. If the AI proves reliable, it could become a tool to help doctors diagnose joint diseases more quickly and accurately.

What this could mean

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

Active substance
AI-assisted imaging analysis
What this could lead to
If successful, this could provide a faster, more reliable way to diagnose arthritis types in older adults, improving treatment decisions.
What could go wrong
This is an early-stage study with only 140 participants. The AI may not perform as well in real-world settings or with different imaging equipment.

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

About 140 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Sep 2025

An estimate. Start dates often move.

Expected to finish

Oct 2026

An estimate. End dates often move.

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

Elderly patients (≥60 years) presenting to Assiut University Hospitals with clinical suspicion or diagnosis of musculoskeletal disorders, specifically inflammatory joint diseases (such as rheumatoid arthritis) or degenerative joint diseases (such as osteoarthritis), and who have relevant imaging studies (X-ray, MRI, or ultrasound) available for analysis.

Ages

60 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 : 1. Age ≥ 60 years 2. Clinical suspicion or confirmed diagnosis of inflammatory joint disease (e.g., rheumatoid arthritis, psoriatic arthritis) or degenerative joint disease (e.g., osteoarthritis) 3. Availability of relevant musculoskeletal imaging (X-rays, MRI, or ultrasound) suitable for AI-based analysis 4. Ability to provide informed consent or have a legal representative consent on behalf of the Exclusion criteria: 1. History of recent joint trauma (within the last 6 months) or previous joint surgery affecting the studied sites 2. Presence of bone or joint malignancy (primary or metastatic) 3. Diagnosis of overlapping rheumatologic syndromes or mixed pathology (e.g., RA with concurrent gout, or OA with inflammatory overlap) 4. Inadequate imaging quality or absence of required imaging modalities 5. Inability or unwillingness to provide informedconsent

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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.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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.

Contacts and locations

Locations

  • Assiut University Hospital

    Asyut, 71515, Egypt

More trials for these conditions

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