icobrain aria

icometrix
The AI-based brain MRI solution allows for the automated detection and quantification of both ARIA-E (edema/sulcal effusion) and ARIA-H (hemorrhage/superficial siderosis). Using a unique longitudinal neural network, the baseline MRI is compared with the post-dosing follow-up MRI scan, assisting radiologists and clinicians with an extra pair of eyes (or AIs).
Information source: Vendor
Last updated: Sept. 22, 2024

General Information

General
Product name icobrain aria
Company icometrix
Subspeciality Neuro
Modality MR
Disease targeted Amyloid-related imaging abnormalities (ARIA), Alzheimer's disease
Key-features Detection, quantification and grading of amyloid-related imaging abnormalities
Suggested use During: interactive decision support (shows abnormalities/results only on demand), report suggestion

Technical Specifications

Data characteristics
Population Alzheimer's patients being treated with anti-amyloid treatments
Input 2D or 3D FLAIR, 2D GRE
Input format DICOM
Output Segmentation overlay, quantitative report, draft radiology report, table of quantified values
Output format DICOM, HL7, json
Technology
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform
Deployment Cloud-based
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time 1 - 10 minutes

Regulatory

Certification
CE
Certified, Class IIa , MDR
FDA No or not yet
Intended Use Statements
Intended use (according to CE)

Market

Market presence
On market since 09-2024
Distribution channels Nuance, Blackford, Calantic
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model Subscription
Based on Number of analyses

Evidence

Evidence
Peer reviewed papers on performance

  • Artificial Intelligence Assistive Software Tool for Automated Detection and Quantification of Amyloid-Related Imaging Abnormalities (read)

Non-peer reviewed papers on performance
Other relevant papers