Administration and organization

A central focus of the AI Innovation Center is direct cooperation with industrial companies: Feasibility studies (Quick Checks) and projects to develop initial prototypes (Exploring Projects) of AI applications. In addition, consortium projects and innovation networks are aimed at cross-company exchange.

AI patent application - knowledge extraction from patent documents with AI

By using AI, important information can be automatically extracted from patent documents and made available in a structured form (e.g. as a knowledge graph) for further use.

ANTONIA - Automatic order processing

An intelligent system automates order processing by interpreting text notes, improves classification and increases efficiency when processing standardized orders.

EEGAUAI - EEG Analysis Using Artificial Intelligence

An EEG analysis system is being developed that combines electrophysiological measurements and AI algorithms to objectively classify the willingness to exert effort in medical reports.

Information extraction from medical publications

It was evaluated how the preparation of marketing authorization dossiers (core dossiers) can be supported by the extraction of information from medical studies.

AI agent system for scheduling

An AI-based agent system optimizes therapy appointment scheduling in a rehabilitation clinic by considering complex constraints such as sequences, resources, and even distribution of applications. Particularly innovative is the ability to add new requirements via natural language as modular rules, which keeps the scheduling flexibly and efficiently adaptable.

AI-based appointment optimization by predicting appointment bookings, no-shows and cancellations

An AI prototype uses traffic light logic to suggest the preferred time slots for scheduling appointment requests in order to achieve the most efficient capacity utilization possible. This is based on past appointment data and takes into account no-shows and appointment cancellations.

AI Competence in Customer Support

In the project, potentials for the use of AI in customer service were identified and prioritized to sustainably increase service efficiency through forward-looking planning, intelligent automation, and improved information utilization. Based on a structured analysis, concrete implementation concepts are being developed for the three most promising use cases: social workforce planning, predictive maintenance, and an AI-powered assistance system.