AI (Artificial Intelligence)

Today’s expert knowledge is extremely broad and deep. If this knowledge is to be made available in software for non-experts, it must be specifically structured and stored according to their needs. We have been working on the topic of “knowledge-based systems” for many years. For example, in collaboration with Semfinder AG, we developed the “Semfinder” interpreter, which operates on a foundation of several tens of thousands of rules. Semfinder interprets medical diagnoses and procedures using semantic analysis, automatically generates ICD-10 and OPS-301 codes, and guides users toward rule-compliant coding and classification.

Our activities in the field of knowledge-based systems include:

• Building knowledge shells
• Developing inference engines
• Efficient handling of large-scale knowledge bases
• Distributed computing for inference processes