AI as Clinical Decision Support, Not Decision-Making

Even though AI adoption in radiology is rapidly growing, Radiologists are still in high demand. So if AI isn’t replacing radiologists even though it’s becoming increasingly adopted and integrated — what is its role?

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 UK’s first — and world’s largest — randomised controlled trial of AI-assisted fracture detection in the ED

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?

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.

Lewisham and Greenwich NHS Trust selects RBfracture™ following BS 30440-based evaluation

Following the BS 30440-aligned evaluation, RBfracture™ demonstrated superior performance, achieving 97% accuracy, 93% sensitivity, and 98.8% specificity compared with the other AI solution tested.

AIFI – AI for Imaging – Collaborating on responsible AI in healthcare

AI solutions in healthcare only become truly valuable when they do what they’re meant to do: Support, accelerate, and relieve — without compromising on safety or reliability. That’s exactly why AIFI – AI for Imaging – was launched.

Radiobotics releases RBfracture version 2.5 with new clinician feedback and confidence scoring features

RBfracture version 2.5 introduces two new features designed to enhance transparency, usability, and collaboration with clinicians.