BoneView Measurements

GLEAMER
BoneView Measurements provides automated MSK measurements for the spine, pelvis, feet, and legs, on X-ray and EOS acquisitions.
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Information source: Vendor
Last updated: Sept. 14, 2023

General Information

General
Product name BoneView Measurements
Company GLEAMER
Subspeciality MSK
Modality X-ray
Disease targeted Spine deformities, scoliosis, pelvic obliquity, leg length difference, femoral coverage, acetabular impingement, hip dysplasia, hip arthritis, Genu varum, genu valgum, lower extremity length discrepancy
Key-features Automated measurements of spine, pelvis, feet, and legs
Suggested use During: report suggestion
Without interference of a radiologist: AI-only diagnosis

Technical Specifications

Data characteristics
Population Adults and Children (>3yo for legs and spine / >10yo for foot and pelvis)
Input 2D radiograph or EOS
Input format DICOM
Output A structured report and overlay of the measurements on the DICOM
Output format DICOM Secondary Capture
Technology
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System)
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis Automatically, right after the image acquisition
Processing time 1 - 10 minutes

Regulatory

Certification
CE
Certified, Class IIa , MDR
FDA No or not yet
Intended Use Statements
Intended use (according to CE) BoneView Measurements is a software using deep learning techniques intended to provide preliminary data for helping clinicians’ diagnosis of X-ray radiographs.

Market

Market presence
On market since 03-2023
Distribution channels Eureka Clinical AI
Countries present (clinical, non-research use) 22
Paying clinical customers (institutes) 24
Research/test users (institutes)
Pricing
Pricing model Subscription
Based on Number of analyses

Evidence

Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance

  • Abstract ECR2023: Automated hip measurements using an artificial intelligence-based software (read)

  • Abstract ECR2023: Automated full-leg measurements using an artificial intelligence-based software (read)

  • Abstract ECR2023: Automated feet measurements using an artificial intelligence-based software (read)
Other relevant papers