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Tag: RBfracture

For hospitals facing overcapacity and resource constraints, RBfracture 2.6 offers additional possibilities to explore more efficient patient workflows.
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?
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.
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?
This Health AI Register product review and demo video features a user perspective from Ben Madden, Lead Reporting Radiographer at University Hospitals of Northamptonshire.
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 saw strong adoption across the pilot, with frequent use driving workflow improvements and empowering radiographers to work more independently.
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.
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.
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.

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