Vendor source
Reviewed 11 May 2026
Completeness Strong (72%)
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


General Information
Product name
Company
Modality
Main task
Not specified
Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDR
Class:
Class IIa
Not verified by Health AI Register
Pathway:
510(k) cleared
Class:
Class II
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Assessing the impact of automated assistive automated detection and severity grading software on ARIA reading
Alzheimer's & Dementia · Dec 2025
Artificial Intelligence–Assisted Detection of Amyloid-Related Imaging Abnormalities: Promise and Pitfalls
American Journal of Neuroradiology · Jul 2025
Artificial Intelligence Assistive Software Tool for Automated Detection and Quantification of Amyloid-Related Imaging Abnormalities
JAMA Network Open · Feb 2024
Technical Specifications
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Not specified
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Not specified
Pricing Information
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Based on
Source: Vendor | First published: Sep 22, 2024 | Last updated: May 11, 2026