Audit results: RBfracture reduces the missed fracture rate by 62% at Kettering General Hospital
RBfracture™ showed an outstanding performance, with sensitivity of 94%, specificity of 94%, and accuracy of 94% in the audit.
Artificial intelligence tools trained on human-labeled data reflect human biases: a case study in a large clinical consecutive knee osteoarthritis cohort
RBknee didn’t analyze the left and right knees in exactly the same way—around 15–20% of cases were graded differently. However, its overall grading accuracy was still comparable to that of experienced radiologists. There were no clear signs of consistent bias toward one side in terms of disease grading or joint space width.
Radiobotics enters into commercial partnership with AI solution platform Blackford
By integrating the Radiobotics portfolio of AI solutions into the Blackford platform, healthcare providers gain access to more powerful tools for automating fracture detection on X-ray images
Constructing a clinical radiographic knee osteoarthritis database using artificial intelligence tools with limited human labor: A proof of principle
Using RBknee and three other AI tools, the authors saved about 800 hours of radiologist reading time and only manually reviewed 16.0% of the images in the database
Automated fracture detection: RBfracture™ now part of the ImageBiopsy Lab product portfolio
ImageBiopsy Lab and Radiobotics have teamed up to advance the use of AI-supported disease diagnostics for musculoskeletal (MSK), orthopaedic, and trauma use-cases in the DACH region.
Peter Ulvskjold appointed new CEO of Radiobotics to drive international growth
Radiobotics, a leader in artificial intelligence (AI) for musculoskeletal (MSK) radiology, announces the appointment of Peter Ulvskjold as Chief Executive Officer
Minimal hip joint space width measured on X-rays by an artificial intelligence algorithm—A study of reliability and agreement
RBhip was highly consistent when measuring the mJSW, and may therefore be a useful support tool in the decision making of hip replacement and for quantitative monitoring of the mJSW
Interobserver agreement and performance of concurrent AI assistance for radiographic evaluation of knee osteoarthritis
RBknee improved consistency and performance in KL grading, especially among junior readers. Interobserver agreement increased with AI support, and board-certified radiologists achieved near-perfect agreement when using RBknee—surpassing even the unassisted reference standard.
A deep learning algorithm for radiographic measurements of the hip in adults—A reliability and agreement study
The overall aim of this study was to assess the reliability of RBhip. RBhip proved highly consistent when double reading all measurements, displaying variances between first and second read that were identical or within the range of machine precision
Radiobotics AI solution RBfracture™ now available on Sectra PACS
Through Sectra PACS, hospitals can seamlessly integrate RBfracture™ to automatically detect fractures, dislocations, and other trauma-related findings