The iPRIS research project investigates how the stability of implants during spinal surgery can be objectively captured, analysed and communicated to surgeons.
Information visualization for strategic roadmaps. Brings together projects, products, and technologies within a single system, making dependencies and timelines transparent for planning and coordination.
The AI-DEG research project is developing methodological frameworks to process heterogeneously distributed production data in a structured manner and make it usable in a context-specific way.
Interactive information visualization for the digital patient record: A visual system helps physicians gain an overview of complex patient data, identify correlations, and make informed treatment decisions.
We developed a software tool for office and process space planning for Audi AG. The system consolidates all relevant space and usage data in one place and supports the planning team with a standardized workflow.
The REDUCE project is exploring new approaches to more efficient resource use in industry. Digital tools and people-centered innovation methods help companies make their production processes more sustainable.
Visual Domain Model: An interactive visualization makes complex data models easy to understand. Structures, relationships, and dependencies are clearly displayed, facilitating analysis, communication, and system development.
An NLP-powered application improves search capabilities in large text corpora. Content is automatically analyzed, relevant connections are identified, and search results are presented with greater precision.
The assistance software consolidates clinical data, findings, and treatment options for personalized cancer therapy. Through structured visualization, it supports physicians in their analysis and helps them make informed treatment decisions.
