RBfracture™ is an advanced, CE-marked Class IIa medical device under the (EU) MDR, designed to support clinicians with fast and reliable detection of trauma-related abnormalities in radiographs. Leveraging cutting-edge AI, RBfracture™ streamlines the diagnostic workflow by automatically identifying potential fractures and injuries, helping healthcare professionals make accurate decisions with greater confidence and speed. Find your right fit with a solution built for efficiency, precision, and compliance
RBfracture™ leverages AI to automatically detect trauma-related findings such as fractures, lipohemarthrosis, effusions, and dislocations—enabling rapid worklist prioritisation and generating concise summary reports for streamlined clinical workflows
RBfracture detects fractures in X-rays across the entire appendicular skeleton. Hip, pelvis, femur, knee, crus, hand, wrist, fingers, elbow, humerus, foot, ankle, toes, forearm, shoulder, ribs, and thoracic & lumbar spine
RBfracture supports the detection of fracture-related findings Joint effusions in elbows and knees and lipohemarthrosis in knees
RBfracture detects dislocations Shoulder, elbow, wrist, hand & fingers, pelvis & hips, knee, ankle, and foot & toes
RBfracture supports the detection of fracture-related findings Joint effusions in elbows and knees and lipohemarthrosis in knees
RBfracture provides an overview analysis with thumbnails Quickly identify trauma-related findings with our red dot feature, enabling faster reporting and improved patient care
RBfracture provides an overview analysis with thumbnails Quickly identify trauma-related findings with our red dot feature, enabling faster reporting and improved patient care
RBfracture is an AI-based tool for quick and accurate fracture detection in both children and adults, offering 94% accuracy and cutting missed cases by 86%—all in just 13 seconds.
Prolonging a patient’s ED wait time by just one hour increases the cost of care for the most acute patients by an average of 30%.
Woodworth L, Holmes James F. Holmes. Just a Minute:
The Effect of Emergency Department Wait Time on the Cost of Care. Economic Inquiry.
2020 April;58(2):698-716. doi: 10.1111/ecin.12849.
Epub 2019 Nov 05.
