RBknee
General Information
Product name
RBknee
Company
Subspeciality
MSK
Modality
X-ray
Disease targeted
Osteoarthritis
Main task
Not specified
Technical Specifications
Population
All knee x-rays with suspicion of osteoarthritis
Patient population age
Not specified
Input
2D X-ray
Input format
DICOM
Output
Visual overlay, draft radiology report,
Output format
DICOM
Integration
Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform
Deployment
Cloud-based, Locally virtualized (virtual machine, Docker)
Trigger for analysis
Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click
Processing time
< 3 sec
Regulatory Information
CE Certification
Pathway:
MDR
Class:
Class IIa
Verified by Health AI Register
FDA Certification
Pathway:
510(k) cleared
Class:
Class II
Verified by Health AI Register
Other certifications
Not specified
Market Presence
On market since
11-2019
AI Platforms
Blackford Analysis, Deepc, Newton's Tree, Wellbeing Software
Resellers
Teleray
Countries present
Not specified
Paying clinical customers
Not specified
Research/test users
Not specified
Pricing Information
Pricing model
Not specified
Based on
Not specified
Evidence & Research
Source: vendor | First published: Apr 11, 2024 | Last updated: Jul 9, 2025