RBknee

Radiobotics

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

General
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
Technology
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
Certification
CE	Certified, Class IIa , MDR
FDA	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
Pricing model
Based on
Evidence
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