MSK

Musculoskeletal AI

AI built for high-volume musculoskeletal X-ray reporting

MSK Eye™ brings AI-driven support to musculoskeletal imaging and adds support from fracture detection to quality assurance, it helps enhances workflow productivity and supports radiologists in delivering precise and even more confident diagnoses.

How does AI support musculoskeletal reading?

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.

Designed for everyday MSK radiology workflow

Detection Identifies fractures, arthritis, osteoporosis, and bone lesions
Optimization Prioritizes cases and automizes quality assurance
Integration Fully integrated in the diagnostic application

How to get started

Sectra onboards MSKEye through Sectra Amplifier Services and enables them in your existing Sectra IDS7 diagnostic application.

20 supported findings

MSK Eye™ detect and report 20 findings, from fractures and dislocations to immobilization and normals.

A
Ankylosis
Arthritis
Avascular Necrosis
B
Bone Deformity
Bone Lesion
C
Chronic Fracture
Compression Fracture
Congenital Abnormality
D
Degenerative Changes
Dislocation
F
Foreign Body
Fracture
I
Immobilization
N
Normal
O
Osteoporosis
Osteosynthesis
P
Post Surgical Changes
Prosthesis
S
Soft Tissue Abnormality
Spondylolisthesis

Latest news

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2026-09-21
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Denmark's new Region Østdanmark expands with Sectra to unify imaging region-wide

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Meet us next at

22
Sep
2026
to
24
Sep
2026
BOA Annual Congress 2026
Event | Orthopaedics
23
Sep
2026
to
25
Sep
2026
AOQ 2026
Event | Orthopaedics | Enterprise imaging | Enterprise platform
24
Sep
2026
IEP User Meeting 2026
Event | Enterprise imaging | AI in medical imaging | Cardiology imaging | Digital pathology | Enterprise platform | Genomics | Medical education | Orthopaedics | Radiology imaging | Share and collaborate