JSON twin: https://www.healthaidb.com/software/pixyl-neuro-ms.json
Pixyl
https://pixyl.ai/multiple-sclerosis/
AI software that automatically detects, segments, quantifies and longitudinally tracks MS lesions and brain volumetry from MRI to support diagnosis and monitoring.
Pixyl.Neuro.MS is a CE-marked and FDA 510(k)-cleared medical imaging AI that analyses brain MRI (primarily 3D/2D T2-FLAIR ± T1 sequences) in ~1–10 minutes to produce lesion counts, lesion volumes, active/new/enlarging lesion classification, regional lesion breakdown, longitudinal change and structured PDF/DICOM reports with annotated overlays; deployable cloud, hybrid or on-premises and integrable with PACS and AI marketplaces.
yes
2015
P2031
2025-09-07
commercial proprietary
Subscription pricing; based on number of analyses and number of installations; contact vendor for pricing and trial information.
subscription
2023
product
1.0
{
"company_name": "Pixyl",
"company_url": "https://pixyl.ai/",
"company_offices": [
"France"
],
"company_founding": "2015",
"product_url": "https://pixyl.ai/multiple-sclerosis/",
"categories": [
"clinical",
"diagnostic",
"imaging",
"radiology",
"neurology",
"quantitative analysis",
"MRI analysis"
],
"market_segment": [
"enterprise",
"smb",
"research",
"clinical trials"
],
"links": [
"https://pixyl.ai/",
"https://pixyl.ai/multiple-sclerosis/",
"https://pixyl.ai/about/",
"https://rsna.vporoom.com/Pixyl/download/Pixyl.Neuro+brochure+EN_v2.0.pdf",
"https://healthairegister.com/products/pixyl-neuro-ms",
"https://www.prnewswire.com/news-releases/pixyl-receives-fda-clearance-for-ai-powered-brain-mri-software-pixylneuro-301992829.html",
"https://www.gleamer.ai/insights/gleamer-announces-acquisitions-of-pixyl-and-caerus-medical",
"https://pmc.ncbi.nlm.nih.gov/articles/PMC9816195/"
],
"summary": "AI software that automatically detects, segments, quantifies and longitudinally tracks MS lesions and brain volumetry from MRI to support diagnosis and monitoring.",
"description": "Pixyl.Neuro.MS is a CE-marked and FDA 510(k)-cleared medical imaging AI that analyses brain MRI (primarily 3D/2D T2-FLAIR ± T1 sequences) in ~1–10 minutes to produce lesion counts, lesion volumes, active/new/enlarging lesion classification, regional lesion breakdown, longitudinal change and structured PDF/DICOM reports with annotated overlays; deployable cloud, hybrid or on-premises and integrable with PACS and AI marketplaces.",
"target_users": [
"radiologists",
"neurologists",
"neuroradiologists",
"radiology technologists",
"researchers",
"hospital administrators"
],
"specialties": [
"neurology",
"neuroradiology",
"neuroimaging"
],
"regions_available": [
"European Union",
"United States"
],
"languages_supported": [
"English"
],
"pricing_model": "subscription",
"pricing_details": "Subscription pricing; based on number of analyses and number of installations; contact vendor for pricing and trial information.",
"license": "commercial proprietary",
"deployment_model": [
"SaaS",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web"
],
"features": [
"Automated brain MRI analysis in ~4-5 minutes",
"Quantified lesion volume (T2 FLAIR) and lesion count",
"Detection and classification of active (new or enlarging) T2 FLAIR lesions",
"Regional lesion volume and count by region of interest",
"Brain volumetry (grey matter, white matter, CSF, intracranial volume)",
"Cortical structure volumes and cortical thickness metrics",
"Subcortical structure volumes (hippocampi, amygdala, putamen, etc.)",
"Longitudinal change analysis for follow-up comparisons",
"Structured MS-focused report based on diagnostic criteria",
"Annotated MRI images with lesion contours",
"Comparison of brain region volumes to normative data",
"Support for detection of abnormal atrophy"
],
"optional_modules": [
"Pixyl.Neuro.BV (brain volumetry module)",
"Pixyl.Neuro.FL (FLAIR/hyperintensity detection variant)",
"Longitudinal follow-up / change-reporting pack"
],
"integrations": [
"PACS (DICOM store/receive)",
"VNA",
"Radiology reporting/workflow systems (RIS/structured report export)",
"DICOM viewers (overlay/markup integration)"
],
"data_standards": [
"DICOM",
"HL7 v2"
],
"api_available": "yes",
"system_requirements": "",
"compliance": [
"CE (medical device)",
"FDA 510(k) clearance",
"GDPR",
"HIPAA (platform expected to support HIPAA controls)"
],
"certifications": [
"FDA 510(k)",
"CE mark"
],
"security_features": [
"Data encryption (in transit and at rest)",
"Role-based access control (RBAC)",
"Audit logging",
"SSO/SAML support",
"User authentication / 2FA support"
],
"privacy_features": [
"Data anonymization/de-identification capabilities",
"Consent management support",
"Business Associate Agreement (BAA) available"
],
"data_residency": "",
"customers": [
"University Hospitals of Rennes",
"Nantes University Hospital",
"Brainomix"
],
"user_reviews": [],
"ratings": [],
"support_channels": [
"email",
"contact form"
],
"training_options": [
"documentation"
],
"release_year": "2023",
"integration_partners": [
"Brainomix",
"Gleamer",
"PACS (radiology workflow platforms)"
],
"id": "P2031",
"slug": "pixyl-neuro-ms",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/pixyl-neuro-ms.json"
}
}