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VUNO Med®-DeepBrain™
VUNO Med®-DeepBrain™
VUNO
It parcellates the brain into 100+ parts using 3D T1 non-contrast MRI and provides quantitative data describing volume, normative percentiles, and cortical thickness with color overlays. The solution assists the diagnosis of neurodegenerative disorders by analyzing the atrophy of main brain structures.
Information source:
Vendor
Last updated:
Oct. 26, 2023
General Information
Technical Specifications
Regulatory
Market
Evidence
General Information
General
Product name
VUNO Med®-DeepBrain™
Company
VUNO
Subspeciality
Neuro
Modality
MR
Disease targeted
Atrophy, Dementia
Key-features
Brain parcellation, Atrophy quantification
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
Population with a risk of brain atrophy
Input
3D T1 Brain MRI
Input format
DICOM
Output
Parcellation of whole brain in 100 parts, Quantification of atrophy, Normal comparison
Output format
DICOM, NIFTI, 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
10 - 60 seconds
Regulatory
Certification
CE
Certified, Class IIa
, MDD
FDA
510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)
Market
Market presence
On market since
06-2020
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
Impact of white matter hyperintensity volumes estimated by automated methods using deep learning on stroke outcomes in small vessel occlusion stroke
(read)
Non-peer reviewed papers on performance
Other relevant papers