Project

KI-SIGS

AI-Space for Intelligent Health Systems

AI-Space for Intelligent Health Systems

  • Duration:

In the project KI-SIGS (AI-Space for Intelligent Health Systems), companies, universities and research institutions from Northern Germany are pooling their expertise in the field of medical AI in order to jointly develop growth potential.

The KI-SIGS project demonstrates for the model region of Northern Germany how medical AI technologies can be better developed and applied more quickly. The core of the project is the AI-Space, a platform through which knowledge transfer is organised, planned developments are coordinated and regulatory and ethical guidelines are drawn up. Thus, the question of how AI-based technologies can be made approvable is still largely unresolved. This, like the ethical implications of these techniques, requires further scientific research. In addition, nine application projects are investigating concrete and real-life medical questions using AI techniques, for example, improving the quality of X-rays, optimizing ventilation therapy or detecting crisis situations in intensive care units.

Partners

  • Advances Bionics GmbH
  • apoQlar GmbH
  • CellmatiQ GmbH
  • Drägerwerk AG & Co. KGaA
  • Fraunhofer MEVIS
  • Gesundheit Nord gGmbH Klinikverbund Bremen,
  • IMAGE Information Systems Europe GmbH
  • mbits imaging GmbH
  • Pattern Regcognition Company GmbH
  • Phillips GmbH
  • Stryker Trauma GmbH
  • szenaris GmbH
  • UniTransferKlinik GmbH
  • Universitätsklinikum Hamburg-Eppendorf (UKE)
  • Universitätklinikum Schleswig-Holstein (UK.SH)
  • Universität Bremen
  • Universität Hamburg
  • Universität zu Lübeck
  • Christian-Albrechts-Universität zu Kiel

Sponsors

BMWi - Federal Ministry for Economic Affairs and Climate Action

01MK20012P

BMWi - Federal Ministry for Economic Affairs and Climate Action

Videos

Publications about the project

Kathrin Stich, Karin Hochbaum, Rolf Dembinski, Christoph Int-Veen, Christian Mandel, Serge Autexier, Christoph Lüth, Ariane Ziehn

In: Proceedings of the 44th. International Conference of the IEEE Engineering in Medicine and Biology Society. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-2022) Biomedical Engineering transforming the provision of healthcare: promoting wellness through personalized & predictable provision at the point of care July 11-15 Glasgow United Kingdom IEEE Xplore 2022.

To the publication
Ariane Ziehn

In: International Conference on Very Large Data Bases. International Conference on Very Large Data Bases (VLDB-2020) PhD Workshop located at VLDB August 31-September 4 Tokio Japan CEUR-WS 2020.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz