Radiobotics


Radiobotics is dedicated to providing AI-powered solutions for trauma detection in MSK imaging, aiming to ensure every patient receives expert care every time. Their flagship product, RBfracture™, supports clinicians in detecting fractures, dislocations, effusions, and other trauma-related findings with high accuracy, sensitivity, and specificity. The company emphasizes seamless integration, user-friendly implementation, and continuous improvement of their AI tools, which are used globally across hospitals, radiology units, and teleradiology services. Radiobotics is committed to sustainability and has a detailed carbon reduction plan aiming for net zero emissions by 2050.

Industries

assistive-technology
machine-learning
medical-device
robotics
software

Nr. of Employees

small (1-50)

Radiobotics

Københoved, Syddanmark, Denmark, Europe


Products

AI decision-support for fracture and trauma detection on X-ray

Software-as-a-medical-device that analyses plain-film X-rays to flag fractures, dislocations, joint effusions, and lipohemarthrosis; provides per-finding confidence scores and visualization overlays to support clinician interpretation.


Services

PACS and clinical workflow integration

Configuration and integration of imaging analysis into existing PACS and radiology workstations, including workflow customization and feature toggling for target clinical areas.

Implementation and clinician training

Deployment support, legal and IT coordination, training sessions and short instructional materials to accelerate user adoption.

Clinical validation and audit support

Retrospective and prospective audit designs, annotation workflows, and external validation services to benchmark diagnostic performance in local settings.

Expertise Areas

  • AI-driven musculoskeletal radiograph analysis
  • Clinical decision support for emergency and radiology workflows
  • PACS and healthcare IT integration
  • Clinical validation and audit studies for diagnostic AI
  • Show More (3)

Key Technologies

  • Deep learning for radiograph analysis
  • Computer vision on X-ray imaging
  • Confidence scoring and uncertainty estimation
  • DICOM image handling and web-based upload
  • Show More (2)

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