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.

AI-Powered Assistance for Industrial Drive Systems

AI-Powered Assistance for Industrial Drive Systems Exploring Project Initial situation Dr. Fritz Faulhaber GmbH & Co. KG develops high-precision drive systems for demanding and critical applications. The technical support team handles daily...

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

AI agent system for appointment scheduling Quick Check Initial situation Hamm Klinik Nahetal in Bad Kreuznach is a specialist clinic for oncological rehabilitation and follow-up rehabilitation. Around 60 new patients are admitted every week.

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-powered document analysis with complex layouts

AI-powered document analysis with complex layouts Exploring Project Initial Situation The analysis of complex texts has made enormous progress in recent years with large language models. However, it repeatedly becomes apparent that...

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.

AI-optimized patient planning

As part of the Quick Check, existing approaches to efficient surgery planning and patient appointments were improved with as little waiting time as possible.