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Tag: RBfracture
- RBfracture
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.
- RBfracture
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.
- Company, RBfracture
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.
- Company, RBfracture
RBfracture version 2.5 introduces two new features designed to enhance transparency, usability, and collaboration with clinicians.
- RBfracture
To support clinicians in navigating challenging cases, RBfracture™ v2.5 introduces confidence scoring for each detected finding.
- RBfracture
Now each Summary Report generated by RBfracture™ includes a QR code for users to quickly and easily submit study feedback.
- RBfracture
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%.
- RBfracture
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%.
- Paediatrics, RBfracture
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.
- Company, R&D, RBfracture
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