Harrison.ai
Harrison.ai develops AI-powered healthcare solutions, partnering with hospitals and healthcare providers to enhance diagnostics and clinical decision-making.
CIMAR
CIMAR provides advanced radiology IT solutions, connecting NHS hospitals and healthcare providers with integrated imaging and workflow tools.
Next Level Diagnostics
Next Level Diagnostics (NLD) is a USBritish diagnostics distributor and authorised Radiobotics partner operating across Ukraine. NLD is a major supplier to the Ministry of Health of Ukraine and has delivered large-scale medical equipment programmes, turnkey installations and regulatory support for clinical devices.
Radiobotics receives regulatory approval for RBfracture in Ukraine
This milestone expands Radiobotics’ global footprint to over 44 countries and supports clinicians in reducing missed fractures and avoiding the unnecessary review of false positives in both adult and paediatric patients.
Radiobotics and Oxford University Hospitals NHS Foundation Trust launch the world’s first randomised clinical trial on radiology AI for urgent care
At the heart of the project is a single, crucial question: Can the use of AI reduce the number of unnecessary patient contacts within the NHS?
Radiografen #3: On developing AI for Radiology
Learn how Radiobotics develops AI for radiology, bridging technology and clinical practice to support radiographers and improve patient care.
RBfracture product review by Health AI Register
This Health AI Register product review and demo video features a user perspective from Ben Madden, Lead Reporting Radiographer at University Hospitals of Northamptonshire.
Evaluation AIFI: Feasibility Study for a National AI Infrastructure for Radiology in the Netherlands
How can we ensure that AI solutions are not only smart but also effective in real-world settings? AIFI explored how to deploy AI in medical imaging of patients, with attention to technology, integration, clinical impact, and procurement.
RBfracture™ plays key role in a successful AIFI pilot project as project extends to 2026
RBfracture saw strong adoption across the pilot, with frequent use driving workflow improvements and empowering radiographers to work more independently.
Application of artificial intelligence in the diagnosis of scaphoid fractures: impact of automated detection of scaphoid fractures in a real-life study
RBfracture v2.1 demonstrated a higher AUC than BoneView overall (0.84 vs. 0.83 in Group 1 and 0.65 vs. 0.62 in Group 2) and notably higher specificity (97.9% vs. 85.1%), helping to reduce unnecessary follow-ups. BoneView, however, demonstrated higher sensitivity (81.2% vs. 70%), lowering the risk of missed findings. AI support overall boosted diagnostic confidence among non-specialist radiologists in complex cases.