JSON twin: https://www.healthaidb.com/software/vara.json
Vara
Vara is an AI-driven mammography triage and safety-net tool that pre-screens and post-screens screening mammograms to identify confidently normal exams and highly suspicious cases, and generates draft reports to streamline reader workflow.
Vara (MX Healthcare GmbH) analyzes 2D screening mammograms (including priors and limited patient history) and classifies each study into "normal", "no classification", or "Safety Net". It pre-fills draft radiology reports, provides segmentation overlays, model scores, triage and cancer recommendations, integrates via DICOM/HL7/XML and can operate cloud-based or as a web-based stand-alone with RIS integration. CE marked (MDR Class IIb).
yes
2018
P1941
2025-09-07
—
product
1.0
{ "company_name": "Vara", "company_url": "https://www.vara.ai/", "company_offices": [ "Germany", "India" ], "company_founding": "2018", "product_url": "https://www.vara.ai/products", "categories": [ "clinical", "diagnostic", "imaging", "screening", "decision support", "AI/ML" ], "market_segment": [ "enterprise", "health system" ], "links": [ "https://www.vara.ai/", "https://www.vara.ai/products", "https://www.vara.ai/about-us", "https://www.vara.ai/privacy-policy", "https://healthairegister.com/products/vara-vara/", "https://www.forbes.com/sites/marijabutkovic/2022/10/25/vara-raises-44-million-in-funding-to-bring-its-groundbreaking-ai-breast-cancer-screening-platform-to-millions-more-women/", "https://tech.eu/2024/10/29/vara-s-raises-8-9m-for-its-ai-powered-mammogram-screening-platform/", "https://eqtgroup.com/about/current-portfolio/vara", "https://www.vara.ai/legal-disclosure" ], "summary": "Vara is an AI-driven mammography triage and safety-net tool that pre-screens and post-screens screening mammograms to identify confidently normal exams and highly suspicious cases, and generates draft reports to streamline reader workflow.", "description": "Vara (MX Healthcare GmbH) analyzes 2D screening mammograms (including priors and limited patient history) and classifies each study into \"normal\", \"no classification\", or \"Safety Net\". It pre-fills draft radiology reports, provides segmentation overlays, model scores, triage and cancer recommendations, integrates via DICOM/HL7/XML and can operate cloud-based or as a web-based stand-alone with RIS integration. CE marked (MDR Class IIb).", "target_users": [ "radiologists", "screening program managers", "radiology technologists", "healthcare administrators" ], "specialties": [ "Breast", "Mammography" ], "regions_available": [], "languages_supported": [], "pricing_model": "", "pricing_details": "", "license": "", "deployment_model": [ "cloud-based", "SaaS", "web-hosted" ], "os_platforms": [ "Web" ], "features": [ "AI-based prescreening/triage of mammograms", "Draft radiology report generation (pre-fills)", "Safety Net / high-confidence suspicious flagging", "Post-screening review for potentially missed exams", "Segmentation overlay on images", "Model score / confidence scoring", "Worklist integration / prioritisation", "Automated triggering after image acquisition", "Support for prior images and patient history", "Population-based screening workflow management", "Monitoring and reporting for screening programs" ], "optional_modules": [ "Proprietary viewer and worklist", "Decision referral pathway modules", "Screening appointment & patient workflow tools" ], "integrations": [ "RIS", "PACS" ], "data_standards": [ "DICOM", "HL7", "XML", "JSON" ], "api_available": "yes", "system_requirements": "", "compliance": [ "GDPR", "MDR" ], "certifications": [ "CE mark (MDR) Class IIb" ], "security_features": [ "encryption" ], "privacy_features": [ "GDPR compliant" ], "data_residency": "", "customers": [ "University of Lübeck", "German Mammography Screening Program", "German Breast Cancer Screening Program", "Vara India" ], "user_reviews": [], "ratings": [], "support_channels": [], "training_options": [], "release_year": "", "integration_partners": [], "id": "P1941", "slug": "vara", "type": "product", "version": "1.0", "last_updated": "2025-09-07", "links_json": { "self": "https://www.healthaidb.com/software/vara.json" } }