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VUNO Med®-BoneAge™
VUNO Med®-BoneAge™
VUNO
It assists bone age assessment based on a child’s hand X-ray image. A customized report of bone age assessment is automatically generated.
Information source:
Vendor
Last updated:
October 7, 2024
General Information
Technical Specifications
Regulatory
Market
Evidence
General Information
General
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
Key-features
Bone age assessment, Automatic report generation
Suggested use
During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion
Technical Specifications
Data characteristics
Population
Patients under 19 years old
Input
Hand bone X-ray image
Input format
DICOM
Output
Estimated bone age
Output format
DICOM, PDF
Technology
Integration
Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased
Deployment
Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution
Trigger for analysis
Automatically, right after the image acquisition
Processing time
< 3 sec
Regulatory
Certification
CE
Certified, Class IIa
, MDD
FDA
No or not yet
Intended Use Statements
Intended use (according to CE)
Market
Market presence
On market since
05-2018
Distribution channels
Countries present (clinical, non-research use)
10+
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model
Pay-per-use
Based on
Number of analyses
Evidence
Evidence
Peer reviewed papers on performance
A comparison of two artificial intelligence-based methods for assessing bone age in Turkish children: BoneXpert and VUNO Med-Bone Age
(read)
Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction
(read)
Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency
(read)
Non-peer reviewed papers on performance
A Comparative Study of Automatic Hand Bone Age Assessment Systems, RSNA 2017
Other relevant papers