Validating Osteoporosis Detection in Rho AI Software
3 other identifiers
interventional
800
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jun 2025
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 11, 2025
CompletedFirst Posted
Study publicly available on registry
February 17, 2025
CompletedStudy Start
First participant enrolled
June 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2025
CompletedJanuary 15, 2026
January 1, 2026
6 months
February 11, 2025
January 14, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
AI Predicted Osteoporosis Score
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
through study completion (data collected up to 1 month)
Study Arms (1)
Experimental Detection of Osteoporosis
EXPERIMENTALInterventions
Rho is a AI enabled opportunistic pre-screening computer-aided detection and notification software for low bone mineral density.
Eligibility Criteria
You may qualify if:
- images from people who have undergone total joint arthroplasty
- images from people who have undergone spine fusion
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
UW School of Medicine and Public Health
Madison, Wisconsin, 53792, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
James Bernatz, MD
UW School of Medicine and Public Health
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 11, 2025
First Posted
February 17, 2025
Study Start
June 1, 2025
Primary Completion
December 1, 2025
Study Completion
December 1, 2025
Last Updated
January 15, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will not share