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RBfracture
RBfracture
RBfracture
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Key Features

  • Fracture detection

General Information

Product name

RBfracture

Subspeciality

MSK

Modality

X-ray

Disease targeted

Fractures across the appendicular skeleton, ribs and pelvis

Main task

Not specified

Technical Specifications

Population

Adult patients with suspicion of fractures, pediatrics patients >2yrs old.

Patient population age

Not specified

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

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

10 - 60 seconds

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

06-2022

AI Platforms

Blackford Analysis, Deepc, Newton's Tree, Sectra, TeraRecon

Resellers

ImageBiopsy Lab (DACH), K2Ai

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

One-time license fee, Pay-per-use, Subscription

Based on

Number of analyses

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Deploying artificial intelligence in the detection of adult appendicular and pelvic fractures in the Singapore emergency department after hours: efficacy, cost savings and non-monetary benefits

Peer-Reviewed

View

Accuracy of radiologists and radiology residents in detection of paediatric appendicular fractures with and without artificial intelligence

Peer-Reviewed

View

Improving traumatic fracture detection on radiographs with artificial intelligence support: a multi-reader study

Peer-Reviewed

View

Real-life benefit of artificial intelligence-based fracture detection in a pediatric emergency department

Technical Papers

Technical

View

RBfracture brochure and evidence

Technical

View

Case study: Performance audit at Kettering General Hospital

Source: vendor | First published: Apr 11, 2024 | Last updated: Jul 21, 2025