Medical expert systems

Description of the product

Modern medicine offers very diverse treatment approaches, which are rapidly evolving through intensive research. As a result, it is becoming increasingly difficult for healthcare professionals to stay up-to-date and find the best solution from many options for each patient. A medical expert system, like a human expert, helps to find solutions to medical problems.



Keystone of an expert systems is a knowledge base that represents expert knowledge, such as how to treat a disease. Since this knowledge is often only available in the form of publications or as results of clinical studies, it must be consolidated and converted into a formal knowledge model. During the use of the expert system, this model is then applied to input values, e.g. current blood levels. As a result, the expert system can offer information visualizations up to concrete recommendations for actions.

In the project OnkoLeit a software product of the same name is developed, which supports the treating physician with respect to diagnosis and therapy decisions for oncological diseases.



Philipp, Patrick; Beyerer, Jürgen; Fischer, Yvonne:
Expert-based probabilistic modeling of workflows in context of surgical interventions. In: Schaefer, K.; Institute of Electrical and Electronics Engineers; IEEE Communications Society; IEEE Systems, Man, and Cybernetics Society: IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2017: March 27-31, 2017, Savannah, GA, USA. Piscataway, NJ: IEEE, 2017, S.77-83. 


Philipp, Patrick; Bleier, Johannes; Fischer, Yvonne; Beyerer, Jürgen:
Towards a surgical phase detection using Markov Logic Networks. In: Radermacher, Klaus (Ed.); Society for Computer Assisted Orthopaedic Surgery, Bern: CAOS 2017, 17th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery. Papers. Online resource: June 14-17, 2017, Aachen, Germany, S.288-294. (EPiC Series in Health Sciences 1)


Philipp, Patrick; Fischer, Yvonne; Hempel, Dirk; Beyerer, Jürgen:
Framework for an interactive assistance in diagnostic processes based on the translation of UML activities into petri nets. In: Arabnia, Hamid R. (Ed.); Institute of Electrical and Electronics Engineers; American Council on Science and Education, Las Vegas/Nev.: International Conference on Computational Science and Computational Intelligence, CSCI 2015. Proceedings: 7-9 December 2015, Las Vegas, Nevada, USA. Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2015, S.732-737.


Department Interactive Analysis and Diagnosis of Fraunhofer IOSB

You want to learn more about our projects and products? Then visit the page of our department.