Neurophet AQUA

Neurophet

Neurophet AQUA is an artificial intelligence-based degenerative brain disease diagnosis assistant software that helps clinicians to diagnose brain MRI data through quantitative analysis.

Information source: Vendor
Last updated: November 19, 2024

General Information

General
Product name	Neurophet AQUA
Company	Neurophet
Subspeciality	Neuro
Modality	MR
Disease targeted	Mild cognitive impairment, Alzheimer's disease, dementia
Key-features	Brain region segmentation, volume quantification, normative comparison, report generation, white matter hyperintensity quantification, multi-time-point analysis.
Suggested use	During: perception aid (prompting all abnormalities/results/heatmaps)

Technical Specifications

Data characteristics
Population	All brain MR
Input	3D T1 weighted image
Input format	DICOM
Output	Color-coded segmentation overlays, configurable reports with reference statistics, pre-populated radiological reporting template
Output format	DICOM
Technology
Integration	Integration in standard reading environment (PACS)
Deployment	Locally on dedicated hardware
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 , MDD
FDA	510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)

Market

Market presence
On market since	03-2020
Distribution channels
Countries present (clinical, non-research use)	1
Paying clinical customers (institutes)	15
Research/test users (institutes)	50
Pricing
Pricing model	Subscription, One-off payment
Based on	Pay-per-scan

Evidence

Evidence
Peer reviewed papers on performance	Evaluating brain volume segmentation accuracy and reliability of FreeSurfer and Neurophet AQUA at variations in MRI magnetic field strengths (read) Automated Scoring of Alzheimer's Disease Atrophy Scale with Subtype Classification Using Deep Learning-Based T1-Weighted Magnetic Resonance Image Segmentation (read)
Non-peer reviewed papers on performance
Other relevant papers