RBknee can automatically detect findings relevant for radiographic osteoarthritis, and provide a secondary capture and a structured text report with findings and conclusion.
Product specifications Information source: Vendor
Last updated: March 16, 2022
Product name RBknee
Company Radiobotics
Subspeciality MSK
Modality X-ray
Disease targeted Osteoarthritis
Key-features Joint space narrowing, osteophytes, osteoarthritis grading
Suggested use During: report suggestion
Data characteristics
Population All knee x-rays with suspicion of osteoarthritis
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 Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time < 3 sec
Certified, Class IIa , MDR
510(k) cleared, Class II
Market presence
On market since 11-2019
Distribution channels Wellbeing Software, Teleray
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model
Based on
Peer reviewed papers on performance

  • External Validation of an Artificial Intelligence Tool for Radiographic Knee Osteoarthritis Severity Classification (read)

Non-peer reviewed papers on performance
Other relevant papers