Experience RBfracture’s confidence with our new confidence scoring
To support clinicians in navigating challenging cases, RBfracture™ v2.5 introduces confidence scoring for each detected finding.
Now live in RBfracture version 2.5: Submit feedback instantly via QR code
Now each Summary Report generated by RBfracture™ includes a QR code for users to quickly and easily submit study feedback.
Artificial Intelligence (AI) in a Singaporean Emergency Department: Detecting fractures and reducing recalls
RBfracture v1.5 has the potential to significantly reduce recalls and improve efficiency in the Emergency Department. RBfracture exhibited a high specificity of 95.5% and a PPV of 93.8%. The study further showed that the solution could reduce recalls due to discrepant radiograph findings by up to 75%, and cut discrepant cases in the ED by as much as 73.7%.
Comparative accuracy of two commercial AI algorithms for musculoskeletal trauma detection in emergency radiographs
This study found no statistically significant differences in sensitivity or specificity between RBfracture v2.2 and Gleamer’s BoneView across the included MSK regions. RBfracture demonstrated strong performance, with a sensitivity of 87.2%, specificity of 89.2%, a positive predictive value of 85.1%, a negative predictive value of 90.8%, and an overall accuracy of 88.4%.
Real-life benefit of artificial intelligence-based fracture detection in a pediatric emergency department
RBfracture v1.8 achieved a sensitivity of 92%, specificity of 83%, and overall accuracy of 87%. When supported by RBfracture, radiology residents improved across all metrics—sensitivity increased from 84% to 87%, specificity from 91% to 92%, and diagnostic accuracy from 88% to 90%. The algorithm performed consistently well in children under and over the age of five, with no significant drop in performance.
Unboxing AI: Why clinical risk, not just accuracy, should guide automation
Clinical risk guiding automation: Radiobotics is not just building AI, they’re building trust. How Radiobotics trained, deployed, and validated globally.
Radiobotics receives regulatory approval for RBfracture in Australia
Registration for RBfracture™ in Australia is a milestone in bringing fracture detection AI for emergency departments and radiology teams.
Radiobotics invites you to the RCEM industry research symposium
Michael Lundemann, Chief Clinical and Scientific Officer at Radiobotics, will be sharing how our AI solution, RBfracture, can help optimise patient management in urgent care.
Radiobotics releases RBfracture 2.4 with performance improvements for paediatric and adult patients
RBfracture 2.4™ brings a series of performance enhancements aimed at increasing diagnostic accuracy while maintaining fast analysis times and low hardware requirements.
Radiobotics wins upper funding limit of the SBRI Healthcare Competition 26 tender to support the NHS England in providing timely urgent and emergency care
As part of the SBRI project, Radiobotics’ flagship solution RBfracture™ will be installed across three NHS Foundation Trusts to conduct a real-world prospective study with Oxford University Hospital acting as the clinical project lead.