Evaluating AI Software Osteo Signal Using Chest X-rays to Detect Osteoporosis Compared to DXA Scans in Adults 50 and Older

What this Trial Is About

Researchers are evaluating the performance of an artificial intelligence software called Osteo Signal in detecting the risk of osteoporosis in adults aged 50 years and older. The study aims to determine how accurately the software can identify osteoporosis risk using chest x-ray images compared to the standard method of dual-energy x-ray absorptiometry DXA. This observational study uses past imaging data collected from individuals who have previously undergone both chest x-rays and DXA scans. The main intervention being assessed is the Osteo Signal AI software, which analyzes chest x-rays to screen for osteoporosis risk. There are no new treatments or procedures for participants since the study is retrospective and uses existing imaging data collected within six months of each other. The study involves comparing the AI softwares results against the DXA scan findings to classify bone status. Participants are not directly involved as the study uses existing medical images and records, including chest x-rays and DXA scans performed after January 2010. Researchers will analyze these images along with metadata such as age and sex. The primary outcome is the accuracy of classifying bone status as osteoporosis or non-osteoporosis. Secondary outcomes include more detailed classifications such as osteopenia and normal bone status. The study is designed to monitor the softwares performance without requiring additional visits or interventions from participants.

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