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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

NCT07421713 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 595

Last updated 2026-02-19

No results posted yet for this study

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

DEVICE

Osteo Signal

Artificial Intelligence (AI) software

Sponsors & Collaborators

  • Promedius Inc

    lead INDUSTRY

Principal Investigators

  • Jacob J Visser, Musculoskeletal Radiologist · Erasmus Medical Center

Eligibility

Min Age
50 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-02-10
Primary Completion
2026-03-31
Completion
2026-03-31

Countries

  • Netherlands
  • United Kingdom

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07421713 on ClinicalTrials.gov