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Can AI turn routine scans into a bone health check?

NCT ID NCT07739628

Diagnosis Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology 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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 31, 2026 · Last updated Sep 04, 2026 · Updated 2 times

Summary

This trial tests whether an AI tool called DeepBMD can identify people at high risk for osteoporosis using CT scans they've already had for other reasons. Researchers will compare the AI's findings with the standard bone density test (DXA) to see if it's accurate. If it works, this could make osteoporosis screening easier and more common without extra tests.

What this could mean

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

Active substance
DeepBMD, an AI model that analyzes existing CT scans to flag osteoporosis risk
What this could lead to
If it works, this could make osteoporosis screening easier and more widespread, catching more cases without extra scans.
What could go wrong
The trial is small and early, and the AI may not be accurate enough in real-world settings. It also depends on patients responding to follow-up calls.

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 100 people

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

Started

Jul 2026

Expected to finish

Sep 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

Patients who underwent non-contrast CT at our hospital (Union Hospital, Tongji Medical College, Huazhong University of Science and Technology) and were identified as high-risk for osteoporosis by the DeepBMD model.

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: * Underwent non-contrast CT at our institution, with qualified image quality and no severe artifacts; * Identified as high-risk for osteoporosis by the DeepBMD model; * Had valid contact information available in the PACS, possessed normal cognitive and communication abilities, and was able to cooperate with telephone follow-ups and on-site examinations; * Voluntarily participated in the study, was able to sign a written informed consent form on-site, and agreed to undergo DXA examination. Exclusion Criteria: * Severe spinal deformity, postoperative spinal internal fixation, malignant bone metastasis, or severe osteolytic lesions that may interfere with measurements; * A confirmed diagnosis of osteoporosis with ongoing standardized treatment; * Inability to be contacted, explicit refusal of follow-up, or inability to visit the hospital for informed consent signing and DXA examination.

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Conditions

The condition(s) this trial relates to.

osteoporosis

As listed by the trial registrant

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

Osteoporosis

Contacts and locations

Locations

  • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

    Wuhan, Hubei, 430022, China

More trials for these conditions

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