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Projects

Displaying results 11 to 17 of 17.
  1. Pre-OnkoCase – Preliminary study for the realization of a case-oriented decision support system for treatment recommendations of skin cancer.

    Pre-OnkoCase – Preliminary study for the realization of a case-oriented decision support system for treatment recommendations of skin cancer.

    In the case of advanced skin cancer, treatment decisions are often based on the personal experience of the treating physician due to a lack of evidence. Significant progress can be made here with a de

  2. SEEvacs – SEEvacs - Simulation-based Evolution and Evaluation of Vaccination Strategies in COVID-19-pandemics

    SEEvacs – SEEvacs - Simulation-based Evolution and Evaluation of Vaccination Strategies in COVID-19-pandemics

    Im Rahmen des Projekts EpideMSE am Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM) ist eine Simulationsplattform entstanden, die die tagesaktuellen COVID-19-Fallzahlen des RKI deutsch

  3. HealthcAIre – HealthcAIre

    HealthcAIre – HealthcAIre

    Ziel dieses Projekts ist es, einen Beitrag zur Schaffung struktureller Grundlagen für den Einsatz Künstlicher Intelligenz in der Medizindomäne zu leisten, so dass Potenziale auch kurzfristig identifiz

  4. XAINES – Explaining AI with Narratives

    XAINES – Explaining AI with Narratives

    In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way

  5. SoSAD – Social Simulation for Analysis of Infectious Disease Control

    SoSAD – Social Simulation for Analysis of Infectious Disease Control

    The current COVID 19 pandemic is a major challenge for society and the healthcare system. The behavior of people is very much dependent on their environment (emergence effect), as shown, for example,

  6. ExplAINN – Explainable AI and Neural Networks

    ExplAINN – Explainable AI and Neural Networks

    Despite astonishing progress in the field of Machine Learning (ML), the robustness of high-performance models, especially the ones based on Deep Learning technologies, has been lower than initially pr

  7. CoMem – Corporate Memory

    CoMem – Corporate Memory

    CoMem is an ecosystem based on evolving knowledge graphs integrating information silos and legacy systems as well as (personal) information sources of knowledge workers and their teams. The ecosystem