VUNO Med®-DeepBrain™

VUNO

Key Features

Atrophy quantification
Brain parcellation

General Information

Product name

VUNO Med®-DeepBrain™

Company

VUNO

Subspeciality

Neuro

Modality

Disease targeted

Atrophy, Dementia

Main task

Not specified

Technical Specifications

Population

Population with a risk of brain atrophy

Patient population age

Not specified

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

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

10 - 60 seconds

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

06-2020

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

Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence–Based 3D T1 MRI Volumetric Analysis

Peer-Reviewed

View

Impact of white matter hyperintensity volumes estimated by automated methods using deep learning on stroke outcomes in small vessel occlusion stroke

Source: vendor | First published: Sep 4, 2024 | Last updated: Jul 9, 2025