JSON twin: https://www.healthaidb.com/software/rbfracture.json
Radiobotics
https://radiobotics.com/solutions/rbfracture/
RBfracture is an AI-based software that automatically detects and highlights fractures and related findings on radiographic (X‑ray) images to assist healthcare professionals reviewing trauma skeletal radiographs.
RBfracture (Radiobotics) analyses 2D DICOM X‑rays (adult and pediatric >2 yrs) to detect appendicular, rib and pelvic fractures and related signs (doubtful fracture, lipohemarthrosis, effusion). It outputs bounding boxes and a color‑coded summary as a DICOM secondary capture, integrates with PACS/AI marketplaces, and can be deployed cloud, hybrid or locally. Typical processing time is 10–60 seconds. CE marked (MDR Class IIa).
yes
2017
P1901
2025-09-07
proprietary/commercial
One‑time license fee or subscription; pricing based on number of analyses; contact vendor for pricing and licensing details.
subscription
—
2019
DICOM-compatible PACS; HTTPS/TLS connectivity for cloud; local CPU/server for on-prem deployment
product
1.0
{
"company_name": "Radiobotics",
"company_url": "https://radiobotics.com",
"company_offices": [
"Denmark"
],
"company_founding": "2017",
"product_url": "https://radiobotics.com/solutions/rbfracture/",
"categories": [
"clinical",
"diagnostic",
"radiology",
"imaging",
"decision support",
"musculoskeletal",
"emergency"
],
"market_segment": [
"enterprise",
"hospitals",
"smb"
],
"links": [
"https://radiobotics.com/solutions/rbfracture/",
"https://radiobotics.com/evidence/publications/",
"https://radiobotics.com/contact/",
"https://healthairegister.com/products/radiobotics-rbfracture",
"https://www.nice.org.uk/guidance/hte20/documents/final-scope",
"https://www.rcr.ac.uk/our-services/artificial-intelligence-ai/ai-registry/rb-fracture/",
"https://radiobotics.com/press-release/automated-fracture-detection-rbfracture-now-part-of-the-imagebiopsy-lab-product-portfolio/",
"https://amplifiermarketplace.sectra.com/application/rbfracture/",
"https://radiobotics.com/case-study/transforming-fracture-detection-accuracy-at-kettering-general-hospital/",
"https://pmc.ncbi.nlm.nih.gov/articles/PMC11096271/"
],
"summary": "RBfracture is an AI-based software that automatically detects and highlights fractures and related findings on radiographic (X‑ray) images to assist healthcare professionals reviewing trauma skeletal radiographs.",
"description": "RBfracture (Radiobotics) analyses 2D DICOM X‑rays (adult and pediatric >2 yrs) to detect appendicular, rib and pelvic fractures and related signs (doubtful fracture, lipohemarthrosis, effusion). It outputs bounding boxes and a color‑coded summary as a DICOM secondary capture, integrates with PACS/AI marketplaces, and can be deployed cloud, hybrid or locally. Typical processing time is 10–60 seconds. CE marked (MDR Class IIa).",
"target_users": [
"radiologists",
"emergency physicians",
"orthopaedic surgeons",
"radiology residents",
"clinicians reviewing trauma X‑rays"
],
"specialties": [
"musculoskeletal radiology",
"orthopaedics",
"emergency medicine",
"trauma"
],
"regions_available": [],
"languages_supported": [],
"pricing_model": "subscription",
"pricing_details": "One‑time license fee or subscription; pricing based on number of analyses; contact vendor for pricing and licensing details.",
"license": "proprietary/commercial",
"deployment_model": [
"cloud",
"local (on-prem)",
"hybrid"
],
"os_platforms": [
"Web",
"Windows",
"Linux"
],
"features": [
"Automated fracture detection across appendicular skeleton",
"Detection of lipohemarthrosis and joint effusion",
"Dislocation detection",
"Worklist prioritisation via configurable DICOM tags",
"Visual summary report with thumbnails and red-dot highlighting",
"Batch processing / fast exam processing (~13s median)",
"Support for paediatric and adult exams",
"Configurable confidence scoring and clinician feedback",
"Summary report export to PACS/workstation"
],
"optional_modules": [
"Local (on-prem) analysis appliance",
"Cloud-based analysis with pseudonymisation",
"Integration via AI marketplace connectors"
],
"integrations": [
"PACS",
"PACS viewer",
"AI marketplaces / platform partners",
"Teleradiology providers (partner integrations)"
],
"data_standards": [
"DICOM",
"HL7 v2"
],
"api_available": "yes",
"system_requirements": "DICOM-compatible PACS; HTTPS/TLS connectivity for cloud; local CPU/server for on-prem deployment",
"compliance": [
"CE (MDR) - Class IIa",
"GDPR"
],
"certifications": [
"CE Class IIa (EU MDR)"
],
"security_features": [
"Encryption in transit (TLS/HTTPS)",
"Pseudonymisation of patient data",
"Secure cloud infrastructure"
],
"privacy_features": [
"Pseudonymisation",
"Data minimisation for cloud transfers"
],
"data_residency": "",
"customers": [
"Kettering General Hospital (NHS)",
"One Laudos (teleradiology)",
"Harrogate and District NHS Foundation Trust"
],
"user_reviews": [
"We saw the obvious fracture, but not the non-displaced one… RBfracture finds things that I would not!",
"The accuracy was much higher than I thought, and this has resulted in a significant drop in missed fractures in the Emergency Department.",
"The easiest, friendliest team to work with"
],
"ratings": [
"CE mark (Class IIa) - Radiobotics product page",
"Selected by NICE as an approved AI solution for fracture detection (reported by RAD Magazine)",
"Independent evaluation / study protocol and results reported on medRxiv"
],
"support_channels": [
"email",
"contact form",
"implementation partners/partner-led support",
"demo/web-based trial request"
],
"training_options": [
"documentation",
"case study materials",
"live_online demo/web-based trial",
"partner-led implementation/onboarding"
],
"release_year": "2019",
"integration_parents": [],
"integration_partners": [
"ImageBiopsy Lab",
"Vertex In Healthcare",
"Blackford Analysis",
"One Laudos"
],
"id": "P1901",
"slug": "rbfracture",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/rbfracture.json"
}
}