MEDICUS
MEDICUS provides an AI-powered digital pathology platform that unifies whole-slide images from multiple scanner vendors into a single, case-centric infrastructure. The platform creates an AI-ready data environment with standardized structures, integrates with hospital information systems, and supports spatial biomarker analysis for precision oncology. Its technology is built on clinical datasets focused on gastric and breast cancer, validated through partnerships with leading tertiary hospitals.
- Healthcare Technology
- Digital Health
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Digital pathology has introduced structural challenges including data fragmentation, with whole-slide images scattered across different scanners and solution vendors. This increases operational burden on pathology and IT departments while lacking a unified data foundation for AI analysis and research utilization, complicating timely cancer diagnosis and treatment monitoring.
Solution
MEDICUS offers an AI-powered digital pathology platform that standardizes and centrally manages whole-slide images from multiple scanner vendors within a single infrastructure. The platform creates an AI-ready data environment with standardized structures that work with AI models without additional development, and integrates clinical, radiologic, and pathology data to support cancer diagnosis, prognosis prediction, and treatment response evaluation. Its core technology is built on high-quality clinical datasets focused on gastric and breast cancer, validated in real-world clinical environments through partnerships with leading tertiary hospitals. The platform includes web-based viewing and collaboration tools, real-time project monitoring, and simultaneous operation of multiple AI models, enabling clinicians to access AI-generated insights and manage pathology data across the full lifecycle.
Target Audience
Primary customers are hospitals, pathology departments, and clinical research institutions needing integrated digital pathology infrastructure, as well as oncology teams seeking AI-powered biomarker analysis for cancer diagnosis and treatment monitoring.
Features
- Unified management of WSI images from multiple scanner vendors in a single case-centric platform with automatic collection and quality control checks
- AI-ready data environment enabling seamless integration with new AI vendors without additional development
- On-premise deployment ensuring hospital data sovereignty and protection from external leakage
- Integration with hospital information systems (EMR, LIS) for automatic case classification and structured dataset creation
- Web-based WSI viewer with precise annotation tools, real-time collaboration among medical professionals, and simultaneous operation of multiple AI models
- Advanced search and filtering by project, patient information, and diagnosis for instant access to pathology data
- Real-time dashboard tracking collected cases, clinical data entry, annotation status, and user-level operational statistics