AI reporting for hip and knee X-rays
Radiobotics develops CE-marked, musculoskeletal (MSK) AI algorithms that read standard hip and knee radiographs and deliver structured findings directly in the PACS.
The platform detects osteoarthritis, joint-space narrowing, implants, fractures and post-operative complications, then produces a ready-to-sign report that saves radiologists time and gives orthopaedic teams faster answers.
Key Benefits
- Automatic MSK reports in < 30 s for hip and knee X-rays
- CE-MDR Class IIa approved; FDA 510(k) submitted
- Detects OA grading, implant loosening, fractures and more
- Saves radiologists an average of 2 min per study (clinical pilot, 2023)
Details
- Regulatory: CE-MDR Class IIa | FDA 510(k) in review
- Applications: Orthopaedics, Emergency, Rheumatology
- Modality: X-ray
- Body Part: Hip, Knee (additional joints in pipeline)
Clinical Evidence
- Prospective Pilot, Odense U Hospital (2023) – Radiobotics hip algorithm reached AUC 0.95 for OA grading and reduced report turnaround by 32%.
- Multicentre Validation, UK NHS (2024) – knee model achieved 92% sensitivity / 90% specificity for detecting joint-space narrowing ≥ 2 mm across three sites.
For the latest clinical evidence and updates, visit the company’s official website: https://radiobotics.com/
Ask K2AI how Radiobotics can automate your MSK X-ray reporting workflow.
בניית אתרים JUNAMI