Cognitive Computing and eHealth

  • Artificial intelligence and machine learning in the healthcare sector
  • Semantic data processing
  • Similarity analysis of time data intervals
  • Automated processing of linguistic and textual data
  • Visual Analytics

On the one hand, the research group Cognitive Computing & eHealth researches questions in the field of digitalisation of the health care system, on the other hand the group is dedicated to the development of semantic information processing technologies. Core topics in the field of digitization are the semi-automated, intelligent analysis of high-dimensional data (visual analytics), AI-based diagnostics and therapy based on multimodal patient data and neural networks, as well as information integration and processing in disaster medicine. In the field of semantic information processing, in addition to integration, questions of semantic natural information extraction are also investigated. For this purpose, technologies from the environment of natural language processing are used. The group sees information integration as fundamental to the successful application of any machine learning approach, with the motto: "More and better data always beats improved algorithms"

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The Team

  • André Pomp
  • Jannik Peters
  • Andreas Burgdorf
  • Alexander Paulus
  • Marc Haßler
  • Matthias Hansen
  • Kunal Pal


Eskape Zuschnitt
Development of a data platform for the processing of heterogeneous and unstructured data by artificial intelligence
2016 – 2019
Foto Bahngleise Af
Development of data-based applications in the field of data science and artificial intelligence to optimise and support the disposition of rail vehicles.
2018 – 2021
Audime Abb1
Faster and improved primary medical care in the event of major accidents through data transfer in real time
2014 – 2017
ContactAndré Pomp, M.Sc.Forschungsgruppenleiter
D 2.01
+49 241 80 91166

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