JSON twin: https://www.healthaidb.com/software/mdbrain.json
mediaire
https://mediaire.ai/en/mdbrain/
mdbrain is an AI-based, CE‑marked neuroradiology software from mediaire that provides automated brain volumetry, lesion characterization, aneurysm detection and tumor differentiation to accelerate and standardize MRI reporting.
mdbrain is a commercially licensed, on‑premises SaaS MD‑Suite module that applies deep‑learning models to 3D MRI (T1, T2‑FLAIR, TOF etc.) to produce quantitative brain volumetry, longitudinal comparisons, MS lesion segmentation/quantification, aneurysm detection (>5 mm) and tumor core/edema delineation. Integrates with PACS/RIS, runs locally for data protection, reports in ~3–5 minutes, and is CE marked for use in the EU with published external validations.
unknown
2018
On-premises (patient data remains local); EU/Europe deployments supported
P2054
2025-09-07
commercial proprietary (CE‑marked medical device for EU)
SaaS volume‑based pricing (pay per analysis) with a one‑time installation fee and monthly service fee; free online demo/trial available; contact vendor for volumes and quotes.
subscription
2019
Linux/Ubuntu server, Intel i7 (≥4 cores), ≥16GB RAM, ≥500GB HDD; GPU recommended to reduce analysis time
product
1.0
{ "company_name": "mediaire", "company_url": "https://mediaire.ai", "company_offices": [ "Germany" ], "company_founding": "2018", "product_url": "https://mediaire.ai/en/mdbrain/", "categories": [ "clinical", "diagnostic", "radiology", "medical imaging", "neuroimaging", "AI-assisted diagnosis" ], "market_segment": [ "enterprise", "hospital", "smb" ], "links": [ "https://mediaire.ai/en/mdbrain/", "https://mediaire.ai/en/", "https://mediaire.ai/en/brain-volumetry/", "https://mediaire.ai/en/lesion-characterization/", "https://mediaire.ai/en/detection-of-aneurysms/", "https://mediaire.ai/en/tumor-differentiation/", "https://mediaire.ai/en/publications/", "https://healthairegister.com/products/mediaire-mdbrain", "https://www.capterra.com/p/219275/mdbrain/", "https://www.linkedin.com/company/mediaire/" ], "summary": "mdbrain is an AI-based, CE‑marked neuroradiology software from mediaire that provides automated brain volumetry, lesion characterization, aneurysm detection and tumor differentiation to accelerate and standardize MRI reporting.", "description": "mdbrain is a commercially licensed, on‑premises SaaS MD‑Suite module that applies deep‑learning models to 3D MRI (T1, T2‑FLAIR, TOF etc.) to produce quantitative brain volumetry, longitudinal comparisons, MS lesion segmentation/quantification, aneurysm detection (>5 mm) and tumor core/edema delineation. Integrates with PACS/RIS, runs locally for data protection, reports in ~3–5 minutes, and is CE marked for use in the EU with published external validations.", "target_users": [ "radiologists", "neuroradiologists", "neurologists", "radiology technologists", "hospital IT/administrators", "researchers" ], "specialties": [ "neuroradiology", "dementia", "multiple sclerosis", "neurovascular (aneurysm detection)", "neuro‑oncology/tumor differentiation" ], "regions_available": [ "European Union", "Germany" ], "languages_supported": [ "English", "German" ], "pricing_model": "subscription", "pricing_details": "SaaS volume‑based pricing (pay per analysis) with a one‑time installation fee and monthly service fee; free online demo/trial available; contact vendor for volumes and quotes.", "license": "commercial proprietary (CE‑marked medical device for EU)", "deployment_model": [ "SaaS (usage-based)", "on_prem" ], "os_platforms": [ "Web (browser)", "Linux/Ubuntu (server)" ], "features": [ "Brain volumetry (regional quantitative volumes, cross-sectional and longitudinal)", "Lesion characterization and longitudinal lesion comparison (MS, dementia)", "Aneurysm detection on TOF-MRA (saccular >5mm)", "Tumor differentiation (tumor core vs marginal edema)", "Automated DICOM import/export and PACS overlays", "Rapid analysis and PDF/report generation (typ. 3-5 minutes)", "Longitudinal comparison (Longi-Pull) and prior study inclusion", "Auto-pull / auto-route / auto-send workflow automations", "Color overlays, diagrams and normative comparison in reports", "Quantitative tables and structured results for radiology reports" ], "optional_modules": [ "Brain Volumetry", "Lesion Characterization", "Aneurysm Detection", "Tumor Differentiation" ], "integrations": [ "DICOM-compatible PACS (general)", "Sectra Amplifier (marketplace integration)", "Automatic integrations with local RIS/PACS workflows (Auto-Pull/Auto-Send)", "MRI vendors: Siemens, Philips, GE, Canon/Toshiba (DICOM input)" ], "data_standards": [ "DICOM", "HL7 v2" ], "api_available": "unknown", "system_requirements": "Linux/Ubuntu server, Intel i7 (≥4 cores), ≥16GB RAM, ≥500GB HDD; GPU recommended to reduce analysis time", "compliance": [ "CE marking (medical device in EU)", "GDPR / EU data protection" ], "certifications": [ "CE (EU medical device)" ], "security_features": [ "Local/on‑prem processing (patient data stays in hospital/practice)", "Encryption in transit", "Role-based access control (RBAC)", "Audit logging" ], "privacy_features": [ "On-premises data processing (data/reports do not leave facility)", "Anonymization optional (not required for local deployment)", "Data minimization by local workflow integration" ], "data_residency": "On-premises (patient data remains local); EU/Europe deployments supported", "customers": [ "ASST Spedali Civili Brescia (Neuroradiology Unit), University of Brescia", "Ihre Radiologie, Berlin", "Radiologie am Rhein", "evidia GmbH", "DIE RADIOLOGIE Munich" ], "user_reviews": [], "ratings": [ "CE marking (MDR) Class IIb - Health AI Register", "External validation study in American Journal of Neuroradiology (AJNR) reporting diagnostic impact for aneurysm detection (external validation) - AJNR 2022", "Peer-reviewed evaluations showing improved reporting times and diagnostic performance (multiple publications listed on PubMed/NIH)" ], "support_channels": [ "email", "phone", "on-site installation support", "online demo/trial" ], "training_options": [ "documentation", "online demo", "on-premise installation support", "webinars" ], "release_year": "2019", "integration_partners": [ "Bayer Pharmaceuticals", "Deepc", "Sectra", "QMENTA", "Angionautix", "Bender", "Medavis", "Medecon", "Sanova", "Supermedical", "Tatramed" ], "id": "P2054", "slug": "mdbrain", "type": "product", "version": "1.0", "last_updated": "2025-09-07", "links_json": { "self": "https://www.healthaidb.com/software/mdbrain.json" } }