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Tag: RBfracture

RBfracture version 2.5 introduces two new features designed to enhance transparency, usability, and collaboration with clinicians.
To support clinicians in navigating challenging cases, RBfracture™ v2.5 introduces confidence scoring for each detected finding.
Now each Summary Report generated by RBfracture™ includes a QR code for users to quickly and easily submit study feedback.
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%.
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%.
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.
Clinical risk guiding automation: Radiobotics is not just building AI, they're building trust. How Radiobotics trained, deployed, and validated globally.
Registration for RBfracture™ in Australia is a milestone in bringing fracture detection AI for emergency departments and radiology teams.
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.
RBfracture 2.4™ brings a series of performance enhancements aimed at increasing diagnostic accuracy while maintaining fast analysis times and low hardware requirements.

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