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Products
RBfracture
RBfracture
Radiobotics
RBfracture is an automated tool to diagnose fractures on x-ray.
Information source:
Vendor
Last updated:
Dec. 18, 2023
General Information
Technical Specifications
Regulatory
Market
Evidence
General Information
General
Product name
RBfracture
Company
Radiobotics
Subspeciality
MSK
Modality
X-ray
Disease targeted
Fractures across the appendicular skeleton, ribs and pelvis
Key-features
Fracture detection
Suggested use
Before: adapting worklist order, flagging acute findings
During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand)
Technical Specifications
Data characteristics
Population
Adult patients with suspicion of fractures, pediatrics patients >2yrs old.
Input
2D X-ray
Input format
DICOM
Output
Bounding box detection of fracture or doubtful fracture, lipohemarthrosis, or effusion; and a color-coded summary box
Output format
DICOM secondary capture
Technology
Integration
Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform
Deployment
Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution
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
10 - 60 seconds
Regulatory
Certification
CE
Certified, Class IIa
, MDR
FDA
No or not yet
Intended Use Statements
Intended use (according to CE)
RBfracture is a computer-assisted detection and diagnosis software device to assist healthcare professionals in reviewing trauma skeletal radiographs.
Market
Market presence
On market since
06-2022
Distribution channels
Eureka Clinical AI, ImageBiopsy Lab (DACH), Sectra Amplifier, Blackford, deepcOS
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model
Pay-per-use, Subscription, One-time license fee
Based on
Number of analyses
Evidence
Evidence
Peer reviewed papers on performance
Improving traumatic fracture detection on radiographs with artificial intelligence support: a multi-reader study
(read)
Non-peer reviewed papers on performance
RBfracture brochure and evidence
(read)
Other relevant papers