General Information
Product name
BoneAge
Company
Subspeciality
MSK
Modality
X-ray
Disease targeted
Early or late puberty, Congenital Adrenal Hyperplasia (CAH), orthopedic treatment planning, sports medicine, clinical trials
Main task
Not specified
Technical Specifications
Population
Children from 3 to 17 years old
Patient population age
Not specified
Input
Posterior anterior (PA) hand radiograph
Input format
DICOM
Output
Greulich & Pyle bone age, standard deviation
Output format
DICOM-encapsulated report
Integration
Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform
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
Regulatory Information
CE Certification
Pathway:
MDR
Class:
Class IIa
Verified by Health AI Register
Other certifications
Not specified
Market Presence
On market since
03-2023
AI Platforms
Agfa Healthcare, Aidoc, Blackford Analysis, Deepc, Incepto, TeraRecon
Resellers
RMS Medical Devices
Countries present
>15
Paying clinical customers
>80
Research/test users
Not specified
Pricing Information
Pricing model
Subscription
Based on
Number of analyses
Evidence & Research
Peer-Reviewed Papers
Peer-Reviewed
View
High performance for bone age estimation with an artificial intelligence solution
Source: vendor | First published: Sep 21, 2024 | Last updated: Jul 9, 2025