Vendor source

Reviewed 11 May 2026

Completeness Strong (72%)

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).

Supported by 3 papers

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Key Features

  • Detection
  • Quantification and grading of amyloid-related imaging abnormalities

General Information

Product name

icobrain aria

Company

Modality

MR

Main task

Not specified

Subspeciality

Neuro

Disease targeted

Amyloid-related imaging abnormalities (ARIA), Alzheimer's disease (AD)

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Not 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

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

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

Processing time

1 - 10 minutes

Population

Alzheimer's patients being treated with anti-amyloid treatments

Market Presence

On market since

09-2024

AI Platforms

Blackford Analysis, Nuance, Philips Healthcare

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Source: Vendor | First published: Sep 22, 2024 | Last updated: May 11, 2026