RBfracture

Radiobotics

RBfracture is an automated tool to diagnose fractures on x-ray.

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Information source: Vendor
Last updated: Dec. 18, 2023

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)

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

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 presence
On market since	06-2022
Distribution channels	Eureka Clinical AI, ImageBiopsy Lab (DACH), Sectra Amplifier, Blackford
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
Peer reviewed papers on performance
Non-peer reviewed papers on performance	RBfracture brochure and evidence (read)
Other relevant papers