Key Features

  • Brain region quantification (133 regions)
  • Computed mta
  • Disease specific biomarkers
  • GCA and Fazekas scales
  • Report generation
  • Vascular burden quantification

General Information

Product name

cNeuro cMRI

Subspeciality

Neuro

Modality

MR

Disease targeted

Neurological disorders

Main task

Not specified

Technical Specifications

Population

Dementia, MS or other diseases where analysis of atrophy or WMHs are of interest.

Patient population age

Not specified

Input

3D T1 and 2D or 3D FLAIR (FLAIR is optional)

Input format

DICOM

Output

PDF reports and labelled T1 and FLAIR volumes

Output format

DICOM and DICOM-PDF

Integration

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

Deployment

Cloud-based

Trigger for analysis

Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

> 10 minutes

Regulatory Information

CE Certification

Pathway:

MDR

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

01-2017

AI Platforms

Deepc, Sectra, Siemens Healthineers, Tempus, TeraRecon

Resellers

Not specified

Countries present

7 (new EU countries added)

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Differential diagnosis of neurodegenerative diseases using structural MRI data

Peer-Reviewed

View

Automatically computed rating scales from MRI for patients with cognitive disorders

Peer-Reviewed

View

Detecting frontotemporal dementia syndromes using MRI biomarkers

Source: vendor | First published: Jun 21, 2022 | Last updated: Jul 9, 2025