Automated Fracture Detection

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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.

High incidence

Missed cases

High 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.

Binary decision for fracture/ non fracture

Identifying the area where the fracture is found

Relative reduction in false negatives



Average improvement in Sensitivity



Average reduction in reading time



Reduction in missed fractures

Product description

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.


Supports trauma readings 24/7

Improves diagnostic accuracy

Suggests a diagnosis within seconds

Intended use

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



2RBfracture User Manual

What our customers say:

Jack Farr - Orthopedist

ImageBiopsy AI software is highly accurate and efficient within our PACS system, which provides valuable information on the status of the knee along the continuum of chondrosis to arthrosis.

Jack Farr, MD

The integration of the AI ​​solutions by ImageBiopsy Lab into our RIS and PACS is easy and well done. It is fun to work with and the clarity of the visualized report is an ideal support for our patient consultation.

Jochen Mueller-Stromberg, MD

AI-based solutions reduce the amount of work and the findings become more accurate. An objective value is given which can be used both for monitoring and forecasting the progress. We offer something that others don’t have.

Michael Gruber, MD

Exact diagnosis and reproducible follow-up exams are indispensable for a successful osteoarthritis therapy. Software-based methods can assist the physician in the therapy management and adjustment process.

Prof. Jochen Hofstätter, MD