AIRAscore structure

AIRAscore structure provides quantitative data of brain tissue and brain structures for early detection of atrophies and tracking progression. In addition, the lesion characterisation and quantification may support the diagnosis of a wide range of neurodegenerative diseases. The results are presented in the PACS as a PDF report and compared to an age- and sex-correlated reference collective. Bar charts and a pictogram-based spatial representation of the results facilitate their interpretation.
Information source: Vendor
Last updated: Sept. 29, 2023

General Information

Product name AIRAscore structure
Company AIRAmed
Subspeciality Neuro
Modality MR
Disease targeted Neurodegenerative diseases, e.g. dementia, Alzheimer’s disease, multiple sclerosis, Parkinson’s Disease
Key-features Brain tissue and anatomy segmentation, volume quantification, normative comparison, report generation, WMH detection and quantification
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand)

Technical Specifications

Data characteristics
Population All with suspicion of or in treatment of neurodegenerative disease
Input 3DT1 MRI, 3D or 2D T2 FLAIR, 1.5 or 3T
Input format DICOM
Output Table of quantified values, bar charts and a pictogram-based spatial representation of the values, PDF-report, segmentation overlays
Output format DICOM, DICOM-PDF
Integration Integration in standard reading environment (PACS)
Deployment Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution
Trigger for analysis On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time 1 - 10 minutes


Certified, Class I , MDD
FDA 510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)


Market presence
On market since 08-2020
Distribution channels
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Pay-per-use
Based on Number of analyses


Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers