JSON twin: https://www.healthaidb.com/software/vuno-med-deepbraintm.json
VUNO
https://www.vuno.co/en/deepbrain
VUNO Med®-DeepBrain is an AI-based medical software that automatically segments brain MRI to provide volumetric measurements, cortical thickness, and white matter hyperintensity quantification to assist diagnosis of neurodegenerative disease.
Automated brain MRI analysis tool that performs brain parcellation across ~100+ regions, generates volumetry, cortical thickness and WMH measurements, produces normative percentile scores and visual reports; cleared by MFDS (Korea), CE marked, and U.S. FDA 510(k) (K231398) for clinical use.
yes
2014
Depends on deployment: on-premises options or cloud regions per customer; region-specific hosting available depending on contract
P2066
2025-09-07
proprietary commercial
Contact vendor for pricing, licensing and trial/demo information.
enterprise_quote
2020
Server (Windows/Linux), GPU recommended for inference; DICOM-capable network; PACS connectivity
product
1.0
{
"company_name": "VUNO",
"company_url": "https://www.vuno.co/en/",
"company_offices": [
"South Korea",
"United States"
],
"company_founding": "2014",
"product_url": "https://www.vuno.co/en/deepbrain",
"categories": [
"clinical",
"diagnostic",
"imaging",
"radiology",
"neurology",
"AI-assist"
],
"market_segment": [
"enterprise",
"hospital"
],
"links": [
"https://www.vuno.co/en/deepbrain",
"https://vuno.us/page/sub_0102.php",
"https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K231398",
"https://www.accessdata.fda.gov/cdrh_docs/pdf23/K231398.pdf",
"https://healthairegister.com/products/vuno-deepbrain",
"https://www.prnewswire.com/news-releases/vuno-secures-fda-510k-clearance-for-vuno-med-deepbrain-301964014.html",
"https://practicalneurology.com/news/ai-based-brain-volumetric-software-vuno-med-deepbrain-receives-fda-510k-clearance/2470328/",
"https://www.vuno.co/en/history"
],
"summary": "VUNO Med®-DeepBrain is an AI-based medical software that automatically segments brain MRI to provide volumetric measurements, cortical thickness, and white matter hyperintensity quantification to assist diagnosis of neurodegenerative disease.",
"description": "Automated brain MRI analysis tool that performs brain parcellation across ~100+ regions, generates volumetry, cortical thickness and WMH measurements, produces normative percentile scores and visual reports; cleared by MFDS (Korea), CE marked, and U.S. FDA 510(k) (K231398) for clinical use.",
"target_users": [
"radiologists",
"neuroradiologists",
"neurologists",
"radiology technologists",
"hospital PACS/IT administrators",
"clinical researchers"
],
"specialties": [
"neuroradiology",
"neurology",
"geriatrics",
"neurodegenerative disease",
"memory clinics"
],
"regions_available": [
"South Korea",
"United States",
"European Union",
"Global (commercial distribution via VUNO partners)"
],
"languages_supported": [
"English",
"Korean"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing, licensing and trial/demo information.",
"license": "proprietary commercial",
"deployment_model": [
"on_prem",
"cloud (SaaS)",
"hybrid"
],
"os_platforms": [
"Web (browser)",
"Windows",
"Linux"
],
"features": [
"Brain parcellation into 100+ regions (3D T1 MRI)",
"Volumetric quantification for >100 brain regions",
"Cortical thickness measurement",
"White matter hyperintensity (WMH) volume estimation",
"Normative percentile comparison (normal database)",
"Color overlay visualization on images",
"Automated PDF report with graphs and statistics",
"Outputs in DICOM, NIFTI, PDF",
"Integration with PACS / standard reading environment",
"Cloud, hybrid, and on-premise deployment options",
"Automatic trigger post-acquisition",
"Fast processing (reported 10–60 seconds)",
"Right-after-acquisition processing workflow",
"Supports research outputs / quantitative maps",
"Provides normative reference and atrophy metrics"
],
"optional_modules": [
"Advanced reporting / customized report templates",
"Longitudinal analysis module",
"Research/export API access",
"Population normative database comparisons"
],
"integrations": [
"PACS",
"RIS",
"EMR/HIS (via integration)",
"DICOM viewers",
"GE Healthcare (PACS/integration partners)",
"Siemens Healthineers (PACS/integration partners)",
"Philips (PACS/integration partners)",
"Hospital IT systems (HL7/FHIR integrations)"
],
"data_standards": [
"DICOM",
"DICOM-SR",
"HL7 v2",
"FHIR"
],
"api_available": "yes",
"system_requirements": "Server (Windows/Linux), GPU recommended for inference; DICOM-capable network; PACS connectivity",
"compliance": [
"MFDS (K-FDA) approval",
"CE (IVDR/CE marking)",
"U.S. FDA 510(k)",
"HIPAA"
],
"certifications": [
"U.S. FDA 510(k) (K231398)",
"CE certified",
"MFDS / K-FDA approved"
],
"security_features": [
"Encryption in transit",
"Encryption at rest",
"Role-based access control (RBAC)",
"Audit logs",
"SSO/SAML support"
],
"privacy_features": [
"De-identification/pseudonymization support",
"Consent-aware data handling"
],
"data_residency": "Depends on deployment: on-premises options or cloud regions per customer; region-specific hosting available depending on contract",
"customers": [],
"user_reviews": [],
"ratings": [],
"support_channels": [
"email",
"phone",
"request-demo/contact form",
"sales inquiry",
"media/communications"
],
"training_options": [
"documentation",
"webinars",
"live_online (demo)",
"onsite (enterprise deployment)",
"manuals"
],
"release_year": "2020",
"integration_partners": [
"Visual Medica (PACS partner / MOU)",
"MIDAS Information Technology Co., Ltd.",
"LK Consulting Group USA, Inc.",
"PACS vendors (general integration partners)"
],
"id": "P2066",
"slug": "vuno-med-deepbraintm",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/vuno-med-deepbraintm.json"
}
}