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AI assistant boosts rheumatology diagnoses in new study

NCT ID NCT07166692

Diagnosis Sponsor: Philipps University Marburg Source: ClinicalTrials.gov ↗

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested whether an AI tool called Prof. Valmed helps doctors better identify rheumatic diseases. 82 licensed physicians were split into two groups: one used the AI, the other used standard methods. Researchers then compared how often each group correctly matched the actual diagnosis.

What this could mean

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

Active substance
Prof. Valmed (AI decision support system)
What this could lead to
If successful, this could show that AI helps doctors make faster, more accurate diagnoses for rheumatic diseases.
What could go wrong
This is a small, completed study with 82 physicians. The AI may not work as well in real-world clinics or for all types of patients.

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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

82 people

The number who actually took part.

Started

Oct 2025

Finished

Feb 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.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: * Participants must be licensed physicians. * Training in rheumatology, internal medicine, emergency medicine, family medicine, dermatology or orthopedics. Exclusion Criteria: * Not currently practicing clinically.

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Conditions

The condition(s) this trial relates to.

disease

As listed by the trial registrant

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

Diagnosis

Contacts and locations

Locations

  • Institute for Digital Medicine, University Hospital of Giessen and Marburg, Philipps University Marburg

    Marburg, 35043, Germany

More trials for these conditions

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