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.
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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