Vendor source

Reviewed 11 May 2026

Completeness Comprehensive (81%)

QyScore

Qynapse

QyScore® is an advanced processing software for automatic labeling and volumetric quantification of segmented central nervous system structures. QyScore® produces a range of automated measures such as whole brain, white matter, grey matter by lobe, cerebellum, white matter abnormalities and brain substructures. Results are available with existing workflows through PACS, AV, AI viewers and in a dedicated 3D UI. QyScore® aims to decrease image reading variability and segmentation errors.

Supported by 3 papers

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Key Features

  • Brain region quantification
  • Comparison to reference population
  • Report generation
  • White matter hyperintensities segmentation and evolution in time and space

General Information

Product name

QyScore

Company

Modality

MR, PET

Main task

Not specified

Subspeciality

Neuro

Disease targeted

Dementia, Multiple Sclerosis (MS), Alzheimer's disease (AD), neurodegenerative diseases

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

Technical Specifications

Patient population age

Not specified

Input

1.5T and 3T scanners for T1 MRI processing, and 3T scanners for T2FLAIR MRI

Input format

DICOM

Output

Segmentation overlay, report, 3D rendering, longitudinal charts, lesion load overlay, lesion evolution chart, normative database comparison charts

Output format

.csv export of collection of patients, DICOM, DICOM Secondary capture, DICOM SEG, DICOM SR, Fused DICOM, Pdf, Structured report metadata

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, 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

Depending on the technical workflow, T1, T1+T2 etc and the clinical needs

Population

Adults patients

Market Presence

On market since

09-2017 (Europe) 12-2019 (USA)

AI Platforms

Blackford Analysis, Philips Healthcare

Resellers

Not specified

Countries present

5

Paying clinical customers

< 10

Research/test users

< 10 (also in clinical trials with pharma/CRO)

Pricing Information

Pricing model

Subscription

Based on

Number of installations

Source: Vendor | First published: Mar 27, 2022 | Last updated: May 11, 2026