Fractures occur at a rate of up to 6,000 per 100,000 population, making them a significant concern. Unfortunately, missed fractures contribute to the majority of errors in emergency departments, resulting in serious consequences for patients. These missed fracture cases not only impact patient outcomes but also have a financial burden on health systems. It is crucial to address these challenges and improve fracture detection and diagnosis to enhance patient care and reduce healthcare costs.
RBfracture™ optimizes fracture diagnosis in emergency departments, offering precise and efficient results. By automating the detection process, our system streamlines workflow, improving operational efficiency, and reducing diagnostic turnaround times.
Average improvement in Sensitivity
Average reduction in reading time
Reduction in missed fractures
RBfracture covers the most common MSK areas; Hip, Pelvis, Femur, Knee, Tibia and Fibula, Hand, Wrist, Fingers, Elbow, Humerus, Foot, Ankle, Toes, Forearm, Shoulder & Ribs.1
RBfracture highlights relevant clinical findings by applying latest international medical standards to enable timely and accurate decision making. The findings are summarized in a visual report, attached to the original x-ray image and saved automatically in the PACS system. The AI facilitates monitoring of disease progression by facilitating comparison of radiographic disease parameters over time.
RBfracture™ uses deep learning technology for the automated detection of fractures on X-rays and augments the reporting workflow. The system is to be used by trained medical professionals, including but not limited to, orthopedists and radiologists. It should not be used in lieu of a full patient evaluation or solely relied upon to make or confirm a diagnosis.2
1www.radiobotics.com
2RBfracture User Manual
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