MSK Suite

AI built for high-volume musculoskeletal X-ray reporting

MSK Suite, powered by MSK Eye™, brings AI-driven support to musculoskeletal imaging—from fracture detection to quality assurance, it enhances workflow efficiency and supports radiologists in delivering precise, confident diagnoses

MSK Eye™ supports radiologists in high-volume musculoskeletal X-ray reporting, where subtle findings across trauma, degenerative, and post-surgical cases can have major clinical consequences.

Studies where clinically significant findings may be present are clearly highlighted in the worklist for first review. Suspected areas are visible directly on the X-ray image as heatmaps, and after reporting, the radiologist’s report is compared with the image analysis to highlight cases that may require a second look — all while fitting naturally into existing radiology workflows inside PACS.

Radiologists continue reporting exactly as they do today, with AI support present throughout the process without introducing additional tools or steps.

Designed for everyday MSK radiology workflow

  • AI-assisted detection – supports findings such as fractures, arthritis, osteoporosis, and bone lesions.
  • Workflow optimization – prioritizes urgent cases and provides automated quality assurance.
  • Seamless integration – works with PACS, RIS, and existing radiology infrastructures.

Supported findings

  1. Fracture
  2. Chronic Fracture
  3. Compression Fracture
  4. Dislocation
  5. Spondylolisthesis
  6. Degenerative Changes
  7. Ankylosis
  8. Arthritis
  9. Avascular Necrosis
  10. Osteoporosis
  11. Bone Deformity
  12. Congenital Abnormality
  13. Bone Lesion
  14. Post Surgical Changes
  15. Prosthesis
  16. Osteosynthesis
  17. Foreign Body
  18. Soft Tissue Abnormality
  19. Immobilization
  20. Normal

Humerus fracture
Fracture of the proximal fifth metatarsal
Distal radial fracture
Distal phallange fracture

Read the latest updates

Unilabs Partners with Oxipit to Integrate AI-Powered Chest X-Ray Solutions Across Europe 

February 17th
February 17, 2025 — Geneva, Switzerland — Unilabs, a leading diagnostic services provider in Europe, announced the selection of AI solutions from Oxipit, a pioneering medical imaging AI company, to deploy solutions for chest X-rays throughout Unilabs’ European network. This partnership will see Oxipit’s AI solutions, ChestLink and ChestEye, integrated into Unilabs’ radiology workflows, streamlining chest X-ray reporting through automated triage and second-reading capabilities. The agreement covers the option to use these solutions within the entire Unilabs group in Europe, with the initial rollout starting in Portugal.
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AI Autonomy in medical imaging: not with a bang, but with a whisper

July 07th
Recently World Health Organization published a guidance document regarding AI governance and ethics in healthcare. The document outlines key principles for AI deployments in daily medical practice and is a welcome addition to the discussions on the vanguard field of medical AI development.
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Solving the right problem: insights from Peter Corscadden, CEO of Oxipit

October 18th
In a recent interview, Peter Corscadden, CEO of Oxipit, discusses the transformative role of autonomous AI in radiology. Oxipit’s AI-driven tool, ChestLink, autonomously handles up to 40% of chest X-ray workflows, freeing radiologists to focus on complex cases. Corscadden highlights the technology’s potential to reduce the strain on radiologists, improve diagnostic accuracy, and tackle healthcare inequalities—particularly in underserved regions like Rwanda. Looking ahead, Oxipit aims to expand its innovative AI solutions to further shape the future of healthcare.
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