BoneView Bone Age

GLEAMER

The algorithm automates bone age assessment according to the Greulich & Pyle atlas. It aims to overcome the problem of considerable reader variability of manual ratings.
Product specifications Information source: Vendor
Last updated: April 25, 2023
General
Product name BoneView Bone Age
Company GLEAMER
Subspeciality MSK
Modality X-ray
Disease targeted Early or late puberty, Congenital Adrenal Hyperplasia (CAH), orthopedic treatment planning, sports medicine, clinical trials
Key-features Bone age
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps)
After: diagnosis verification
Data characteristics
Population Children from 3 to 17 years old
Input Posterior anterior (PA) hand radiograph
Input format DICOM
Output Greulich&Pyle bone age, standard deviation
Output format DICOM-encapsulated report
Technology
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform
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
Certification
CE
Certified, Class IIa , MDR
FDA
No or not yet
Market presence
On market since 03-2023
Distribution channels
Countries present (clinical, non-research use)
Paying clinical customers (institutes) 19
Research/test users (institutes)
Pricing
Pricing model Subscription
Based on Number of analyses
Evidence
Peer reviewed papers on performance

  • High performance for bone age estimation with an artificial intelligence solution (read)

Non-peer reviewed papers on performance

  • Abstract ESPR 2022: Deep learning algorithm to predict Greulich and Pyle bone age (read)

Other relevant papers