NCT07421713

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

A Retrospective Multi-centre Paired Accuracy Study to Evaluate the Performance of Osteo Signal Against the Dual-energy X-ray Absorptiometry (DXA) for Opportunistic Osteoporosis Screening.

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 595 (estimated)
• Sponsor: Promedius Inc · Industry
• Sex: All
• Age: 50 Years
• Healthy volunteers: Accepted

Summary

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.

Conditions

• Osteoporosis, Osteopenia

Interventions

Type	Name	Description
DEVICE	Osteo Signal	Artificial Intelligence (AI) software

Timeline

• Start date: 2026-02-10
• Primary completion: 2026-03-01
• Completion: 2026-03-01
• First posted: 2026-02-19
• Last updated: 2026-02-19

Locations

3 sites across 2 countries: Netherlands, United Kingdom