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ProductsMed-BoneAge

Public source

Reviewed 11 May 2026

Completeness Strong (64%)

Med-BoneAge

Maihub

It assists bone age assessment based on a child's hand X-ray image. A customized report of bone age assessment is automatically generated.

* Formerly VUNO Med-Boneage from VUNO; recently transferred to Maihub

Supported by 3 papers

Med-BoneAge

Key Features

  • Automatic report generation
  • Bone age assessment

General Information

Product name

Med-BoneAge

Company

Modality

X-ray

Main task

Not specified

Subspeciality

MSK

Disease targeted

Growth disorder, short stature, tall stature, early or late puberty, congenital adrenal hyperplasia

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Technical Specifications

Patient population age

Not specified

Input

Hand bone X-ray image

Input format

DICOM

Output

Estimated bone age

Output format

DICOM, PDF

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, docker)

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

< 3 sec

Population

Patients under 19 years old

Market Presence

On market since

05-2018

AI Platforms

Resellers

Not specified

Countries present

10+

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Number of analyses

Source: Public | First published: Oct 7, 2024 | Last updated: May 11, 2026