A Study Evaluating the Performance of Using AI Software and Chest X-rays to Screen for Osteoporosis as Compared to Standard DXA Scans in Patients 50 Years and Older

Recruiting now

Conditions studied: Osteoporosis, Osteopenia

In brief

The goal of this study is to assess the performance of an artificial intelligence software (Osteo Signal) in detecting osteoporosis risk in adults 50 years and older. The main question it aims to answer is: What is the accuracy of the software in detecting osteoporosis risk on chest x-ray images as compared to the standard technique of dual-energy x-ray absorptiometry (DXA)? There is no direct involvement of participants in this study as it will use data from individuals who have already had a chest x-ray and a DXA scan taken in the past.

Key facts

Study ID
NCT07421713
Run by
Promedius Inc
People needed
595
Starts
2026-02-10
Expected to finish
2026-03-01
Last updated by the study team
2026-02-19

Who can join

Age: 50 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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