UW School of Medicine and Public Health
Madison, Wisconsin, 53792, United States
NCT Number: NCT06830005
To assess the effectiveness of 16bit's Rho AI (artificial intelligence) software at identifying known cases of osteoporosis. 800 de-identified images from January 2007 to January 2024 will be accessed to test the software prospectively.
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Notify Me50 year–90 year
All sexes
Interventional
Not applicable
Madison, Wisconsin, 53792, United States
Osteoporosis is underrecognized and undertreated in the orthopedic surgery patient population. Osteoporosis is diagnosed by dual-energy x-ray absorptiometry which is costly and imparts radiation. Preoperative radiographs are universally obtained in orthopedic surgery patients, however up to this point radiographs have not been able to diagnose osteoporosis. This software program is a new technology that is able to leverage radiographs to opportunistically screen for osteoporosis.
The study team will identify applicable patient records from medical record review, and Radius will de-identify the x-ray images. The de-identified images will be run through the Rho AI program to identify osteoporosis or osteopenia, and a report will be generated to summarize the program's findings.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
-
Rho is a AI enabled opportunistic pre-screening computer-aided detection and notification software for low bone mineral density.
Time frame: through study completion (data collected up to 1 month)
Osteoporosis score is a T-score where -1.0 and above: Normal bone density, -1.0 to -2.5: Osteopenia (low bone mass), -2.5 and below: Osteoporosis
University of Wisconsin, Madison
Other
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