Can AI turn routine scans into a bone health check?

NCT ID NCT07739628

ENROLLING_BY_INVITATION Diagnosis Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Source: ClinicalTrials.gov ↗

First seen Jul 31, 2026 · Last updated Jul 31, 2026

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.

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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

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