IB Lab SQUIRREL is a radiological image processing software that aims to support physicians in the assessment of spinal morphology and scoliosis evaluation using frontal radiographs of the spine, particularly for the purpose of scoliosis assessment and disease progression. The algorithm is triggered automatically by a scoliosis study and returns relevant scoliosis parameters like the patient’s Cobb angle and the Coronal Balance. The findings are summarized in a visual output report, attached to the original x-ray image and saved automatically in the PACS system.
Product specifications Information source: Vendor
Last updated: July 20, 2023
Product name IB Lab SQUIRREL
Company ImageBiopsy Lab
Subspeciality MSK
Modality X-ray
Disease targeted Adolescent Idiopathic Scoliosis
Key-features AP/PA full spine, vertebral detection/labeling, spinal alignment, Cobb angle, coronal balance, calibration ball support, metalwork detection, bracing support
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), report suggestion
Data characteristics
Population Patients of 10+ years with suspicion or diagnosis of Adolescent Idiopathic Scoliosis. Off-label use: Congenital/Neurogenic/Early-Onset Scoliosis, Metalwork
Input X-Ray and EOS (for research), full Spine AP/PA
Input format DICOM
Output Visual output report, attached to the original x-ray image and saved in the PACS system.
Output format DICOM Secondary Capture, pdf
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker)
Trigger for analysis On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time
Certified, Class IIa , MDR
No or not yet
Market presence
On market since 06-2023
Distribution channels
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Subscription
Based on Number of analyses
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers