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ProductsBoneMetrics

Vendor source

Reviewed 18 Jun 2026

Completeness Strong (78%)

BoneMetrics

GLEAMER

BoneMetrics provides automated MSK measurements for the spine, pelvis, feet, shoulder, knee and legs, on X-ray and EOS acquisitions.

Supported by 7 papers

BoneMetrics
BoneMetrics
BoneMetrics thumbnail 1
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Key Features

  • And legs
  • Automated measurements of spine
  • Feet
  • Pelvis

General Information

Product name

BoneMetrics

Company

Modality

X-ray

Main task

Not specified

Subspeciality

MSK

Disease targeted

Spine deformities, scoliosis, pelvic obliquity, leg length discrepancy, femoral coverage, acetabular impingement, hip dysplasia, hip arthritis, genu varum, genu valgum, patella alta/baja

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Peer-Reviewed Papers

Performance of a deep learning-based algorithm for automated measurements of Cobb angles on preoperative spine radiographs in adolescent idiopathic scoliosis

Pediatric Radiology · Dec 2025

Observational evaluation of AI-assisted measurements and reporting for enhanced workflow efficiency in leg and foot radiographs

European Journal of Radiology · Nov 2025

Artificial intelligence‐guided assessment of the hip‐knee‐ankle angle shows excellent correlation with experienced human raters

Journal of Experimental Orthopaedics · Aug 2025

Validation of AI-driven measurements for hip morphology assessment

European Journal of Radiology · Dec 2024

Deep learning algorithm enables automated Cobb angle measurements with high accuracy

Skeletal Radiology · Dec 2024

Evaluation of a deep learning software for automated measurements on full-leg standing radiographs

Knee Surgery & Related Research · Nov 2024

Automated weight-bearing foot measurements using an artificial intelligence–based software

Skeletal Radiology · Jun 2024

Technical Specifications

Patient population age

Not specified

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

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System)

Deployment

Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition

Processing time

1 - 10 minutes

Population

Adults and children (>3 years old for legs and spine / >10 years old for foot and pelvis)

Market Presence

On market since

03-2023

Resellers

RMS Medical Devices

Countries present

>20

Paying clinical customers

>200

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Source: Vendor | First published: Jul 14, 2024 | Last updated: Jun 18, 2026