VUNO Med®-BoneAge™

VUNO

Key Features

Automatic report generation
Bone age assessment

General Information

Product name

VUNO Med®-BoneAge™

Company

VUNO

Subspeciality

MSK

Modality

X-ray

Disease targeted

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

Main task

Not specified

Technical Specifications

Population

Patients under 19 years old

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

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

05-2018

AI Platforms

Not specified

Resellers

Not specified

Countries present

10+

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Pay-per-use

Based on

Number of analyses

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

A comparison of two artificial intelligence-based methods for assessing bone age in Turkish children: BoneXpert and VUNO Med-Bone Age

Peer-Reviewed

View

Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction

Peer-Reviewed

View

Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency

Source: vendor | First published: Oct 7, 2024 | Last updated: Jul 9, 2025