pixyl-neuro-bv

JSON twin: https://www.healthaidb.com/software/pixyl-neuro-bv.json

Company Name

Pixyl

Product URL

https://pixyl.ai/multiple-sclerosis/

Company URL

https://pixyl.ai/

Categories

Summary

Pixyl.Neuro.BV is an AI-powered MRI brain volumetry software that automatically segments brain tissues and structures and quantifies volumes for cross-sectional and longitudinal assessment of atrophy.

Description

Pixyl.Neuro.BV performs automated brain segmentation and volumetric quantification (grey matter, white matter, CSF, intracranial volume, cortical and subcortical structures including hippocampi and amygdala) from 3D T1 MR images, provides longitudinal change analysis and comparison with normative values, integrates into routine radiology workflows and is CE marked and FDA 510(k) cleared for clinical use.

Api Available

unknown

Certifications

Company Founding

2015

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P1898

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

commercial proprietary

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing, enterprise licensing and deployment options; trial/demo available on request via vendor.

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2019

Security Features

Specialties

Support Channels

System Requirements

Supports cloud deployment; can run on local dedicated hardware or virtualized environments (VM/Docker); integrates with standard PACS (no specific OS/DB listed)

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "Pixyl",
  "company_url": "https://pixyl.ai/",
  "company_offices": [
    "France"
  ],
  "company_founding": "2015",
  "product_url": "https://pixyl.ai/multiple-sclerosis/",
  "categories": [
    "clinical",
    "diagnostic",
    "radiology",
    "neuroimaging",
    "imaging analytics"
  ],
  "market_segment": [
    "enterprise",
    "healthcare providers"
  ],
  "links": [
    "https://pixyl.ai/",
    "https://pixyl.ai/multiple-sclerosis/",
    "https://pixyl.ai/about/",
    "https://accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K213253",
    "https://healthairegister.com/products/pixyl-neuro-bv",
    "https://pixyl.ai/pixyl-receives-fda-clearance-for-ai-powered-brain-mri-software-pixylneuro/",
    "https://www.gleamer.ai/insights/gleamer-announces-acquisitions-of-pixyl-and-caerus-medical",
    "https://incepto-medical.com/product/pixyl-neuro-bv",
    "https://rsna.vporoom.com/Pixyl/download/Pixyl.Neuro+brochure+EN_v2.0.pdf",
    "https://www.researchgate.net/publication/354345157_Technical_and_clinical_validation_of_commercial_automated_volumetric_MRI_tools_for_dementia_diagnosis-a_systematic_review"
  ],
  "summary": "Pixyl.Neuro.BV is an AI-powered MRI brain volumetry software that automatically segments brain tissues and structures and quantifies volumes for cross-sectional and longitudinal assessment of atrophy.",
  "description": "Pixyl.Neuro.BV performs automated brain segmentation and volumetric quantification (grey matter, white matter, CSF, intracranial volume, cortical and subcortical structures including hippocampi and amygdala) from 3D T1 MR images, provides longitudinal change analysis and comparison with normative values, integrates into routine radiology workflows and is CE marked and FDA 510(k) cleared for clinical use.",
  "target_users": [
    "radiologists",
    "neurologists",
    "neuro-radiology technologists",
    "researchers",
    "clinical researchers",
    "PACS/IT administrators"
  ],
  "specialties": [
    "neuroimaging",
    "neurology",
    "dementia/Alzheimer's",
    "multiple sclerosis",
    "psychiatry",
    "neurodegenerative disease"
  ],
  "regions_available": [
    "France",
    "European Union",
    "United States"
  ],
  "languages_supported": [
    "English",
    "French"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing, enterprise licensing and deployment options; trial/demo available on request via vendor.",
  "license": "commercial proprietary",
  "deployment_model": [
    "cloud-based",
    "hybrid",
    "on_prem (dedicated hardware)",
    "virtualized (VM/Docker)"
  ],
  "os_platforms": [
    "web-based"
  ],
  "features": [
    "brain segmentation",
    "brain volume quantification (tissue & structure volumes)",
    "comparison with normative population percentiles",
    "longitudinal analysis (follow-up comparison)",
    "structured quantitative report (tables & graphs)",
    "visualization of brain MRI with labelled segmentations",
    "rapid processing (1–10 minutes)",
    "supports 3D T1-weighted MRI input"
  ],
  "optional_modules": [],
  "integrations": [
    "PACS integration (standard reading environment)",
    "AI marketplaces / distribution platforms",
    "Blackford Analysis",
    "GE Healthcare",
    "Siemens Healthineers",
    "Incepto",
    "Brainomix"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "Supports cloud deployment; can run on local dedicated hardware or virtualized environments (VM/Docker); integrates with standard PACS (no specific OS/DB listed)",
  "compliance": [
    "FDA 510(k) cleared (Class II)",
    "CE mark (MDR Class IIa)"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE (MDR) Class IIa"
  ],
  "security_features": [],
  "privacy_features": [],
  "data_residency": "",
  "customers": [],
  "user_reviews": [],
  "ratings": [
    "FDA 510(k) clearance (Dec 2023) - FDA 510(k)",
    "CE marked (MDR Class IIa) - CE"
  ],
  "support_channels": [
    "email"
  ],
  "training_options": [],
  "release_year": "2019",
  "integration_partners": [
    "Blackford Analysis",
    "GE Healthcare",
    "Incepto",
    "Siemens Healthineers"
  ],
  "id": "P1898",
  "slug": "pixyl-neuro-bv",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/pixyl-neuro-bv.json"
  }
}