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ProductsRBknee

Vendor source

Reviewed 11 May 2026

Completeness Strong (69%)

RBknee can automatically detect findings relevant for radiographic osteoarthritis, and provide a secondary capture and a structured text report with findings and conclusion.

Supported by 2 papers

RBknee

Key Features

  • Joint space narrowing
  • Osteoarthritis grading
  • Osteophytes

General Information

Product name

RBknee

Modality

X-ray

Main task

Not specified

Subspeciality

MSK

Disease targeted

Osteoarthritis

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

Evidence & Research

Technical Specifications

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, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

< 10 seconds

Population

All knee x-rays with suspicion of osteoarthritis

Market Presence

On market since

11-2019

AI Platforms

Blackford Analysis, HCKonnect, Newton's Tree, Philips Healthcare, 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

Source: Vendor | First published: Apr 11, 2024 | Last updated: May 11, 2026