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ProductsMSK Eye

Vendor source

Reviewed 11 May 2026

Completeness Strong (67%)

MSK Eye

Oxipit

MSK Eye is a CE-certified Class IIb computer-aided diagnosis (CAD) software intended to support trained radiologists in the analysis of adult musculoskeletal X-ray studies. The software identifies multiple predefined radiological findings, including fractures, dislocations, degenerative changes, arthritis, bone lesions, post-surgical findings, and normal. It can provide worklist prioritisation, image overlays for localisation, and post-report comparison using NLP to flag potential discrepancies between AI output and radiologist reports.

No papers to support — we monitor for new evidence.

MSK Eye
MSK Eye
MSK Eye
MSK Eye thumbnail 1
MSK Eye thumbnail 2
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Key Features

  • Bone lesion detection
  • Degenerative change detection
  • Discrepancy flagging
  • Dislocation detection
  • Fracture detection
  • Heatmap localisation
  • Musculoskeletal X-ray CAD
  • NLP-based report analysis
  • Osteoarthritis detection
  • Report-to-AI comparison
  • Worklist prioritisation

General Information

Product name

MSK Eye

Company

Modality

X-ray

Main task

Detection

Subspeciality

MSK

Disease targeted

Bone fracture (normal/chronic), compression fracture, dislocation, spondylolisthesis, degenerative changes, ankylosis, arthritis, avascular necrosis, osteoporosis, bone deformity, congenital abnormality, bone lesion, post-surgical changes, prosthesis, osteosynthesis, foreign body, soft tissue abnormality, immobilization.

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

No research papers or evidence on file yet.

The registry monitors publications for new evidence.

Technical Specifications

Patient population age

Adult

Input

2D, X-ray, musculoskeletal, DICOM, single image, multi-image study, radiology report text, HL7, DICOM SR

Input format

DICOM

Output

Preliminary findings list, preliminary text report, worklist priority level, heatmap overlay, image annotations, DICOM SR report, HL7 message, discrepancy flag, email notification

Output format

DICOM overlay, DICOM SR, email notification, HL7 message

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, docker)

Trigger for analysis

Automatically, right after the image acquisition

Processing time

10 - 60 seconds

Population

Intended for adult (≥18 years) diagnostic musculoskeletal X-ray studies within the musculoskeletal system.

Market Presence

On market since

01-2026

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Pay-per-use

Based on

Number of analyses

Source: Vendor | First published: Mar 30, 2026 | Last updated: May 11, 2026