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AI reads x-rays for hidden bone loss

NCT ID NCT06830005

Diagnosis Sponsor: University of Wisconsin, Madison 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This completed study tested whether Rho AI software can accurately detect osteoporosis from X-ray images. Researchers used 800 de-identified images from patients who had joint or spine surgery. The goal was to see if the AI could correctly identify low bone density, which could help doctors catch osteoporosis earlier without extra testing.

What this could mean

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

Active substance
Rho AI software
What this could lead to
If successful, this AI tool could help doctors quickly identify patients with undiagnosed osteoporosis from routine X-rays, leading to earlier treatment.
What could go wrong
This is a retrospective validation study using existing images, not a real-world test. The software may not perform as well in everyday clinical practice or on different patient populations.

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

800 people

The number who actually took part.

Started

Jun 2025

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.

Ages

50 to 90 years

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: * images from people who have undergone total joint arthroplasty * images from people who have undergone spine fusion Exclusion Criteria: \-

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Conditions

The condition(s) this trial relates to.

Bone Diseases, Metabolic osteoporosis

As listed by the trial registrant

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

Osteopenia or osteoporosis

Contacts and locations

Locations

  • UW School of Medicine and Public Health

    Madison, Wisconsin, 53792, United States

More trials for these conditions

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