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.
Software Engineer
We are looking for a new member of our development team: An experienced Software Engineer to help our efforts in scaling our infrastructure and product deployments.
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.
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%.
Student Assistant (Quality Assurance and Regulatory Affairs)
Join the exciting growth journey at Radiobotics and develop your skills in ISO standards, regulations, market registrations and much more in the health tech ecosystem, supporting the QA/RA objectives for Software as a Medical Device (SaMD) products revolutionizing Radiology through Machine Learning & AI
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.
Newton’s Tree
Newton’s Tree is a health tech startup that enables healthcare providers to procure, integrate, and monitor in-house and third party AI products as part of routine care pathways through its enterprise AI platform.