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Projects

Displaying results 21 to 30 of 69.
  1. Medinym – AI-based anonymization of personal patient data in clinical text and voice databases

    Medinym – AI-based anonymization of personal patient data in clinical text and voice databases

    In the Medinym project, we are pursuing the goal of completely anonymising the speaker identity of a speaker, both on voice and on statement/semantic level, without losing emotional or diagnostic info

  2. AnoMed – Kompetenzcluster Anonymisierung für medizinische Anwendungen

    AnoMed – Kompetenzcluster Anonymisierung für medizinische Anwendungen

    Sowohl in der Krankenversorgung in Kliniken als auch bei der Aufzeichnung von Gesundheitsdaten mit Smart-Geräten im privaten Bereich fällt eine große Menge medizinischer Daten an. Diese Daten können m

  3. GraviMoKo – GraviMoKo - Influence of gravitational changes on cognition and motor skills; Sub project: Demonstrator for testing new drives for the usage in exoskeletons and EMG study in the field of force estimation; Sub project: Drive demonstrator

    GraviMoKo – GraviMoKo - Influence of gravitational changes on cognition and motor skills; Sub project: Demonstrator for testing new drives for the usage in exoskeletons and EMG study in the field of force estimation; Sub project: Drive demonstrator

    Within the project „NoGravExSystem“ we will analyze on the level of bio signals, in particular in EEG and EMG, if hyper- and micro gravity simulated by an exoskeleton is comparable to real hyper- and

  4. AI-CARE – KI-unterstützte, versorgungsnahe Nutzung von Krebsregisterdaten

    AI-CARE – KI-unterstützte, versorgungsnahe Nutzung von Krebsregisterdaten

    Jedes Jahr werden in Deutschland ca. 500.000 Krebsdiagnosen gestellt, die als ca. 500 Millionen neu erfasster Datenfelder mit relevanter klinischer Information in den Krebsregistern abgebildet werden.

  5. PRIMA-AI – Prospectively investigating the impact of AI on shared decision making in post-kidney transplant care

    PRIMA-AI – Prospectively investigating the impact of AI on shared decision making in post-kidney transplant care

    Health care is undergoing a transformation from a paternalistic to a patient-centred approach. Medical decision-making is therefore a collaborative process between patients, their relatives and doctor

  6. MOMENTUM – Robust Learning with Hybrid AI for Trustworthy Interaction of Humans and Machines in Complex Environments

    MOMENTUM – Robust Learning with Hybrid AI for Trustworthy Interaction of Humans and Machines in Complex Environments

    MOMENTUM is a research project dedicated to TRUSTED-AI, which aims to advance the development and application of artificial intelligence by integrating robustness and explainability. The aim of the pr

  7. adBoard – Therapeutic Assistance and Decision Algorithms for Hepatobiliary Tumor Boards

    adBoard – Therapeutic Assistance and Decision Algorithms for Hepatobiliary Tumor Boards

    Interdisciplinary tumour conferences with doctors from different disciplines are the key to the best possible diagnosis and therapy of cancer. The information about the patient and the tumour that is

  8. KiBATIN – AI-based assistance system for triaging in the emergency room

    KiBATIN – AI-based assistance system for triaging in the emergency room

    In emergency rooms, speed is of the essence. According to the regulations on emergency care, emergency staff must assess within ten minutes how urgently patients need to be treated. Especially in phas

  9. Adra-e – AI, Data and Robotics ecosystem

    Adra-e – AI, Data and Robotics ecosystem

    Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support Action (CSA) funded by the European Commission under

  10. HumanTech – Human Centered Technologies for a Safer and Greener European Construction Industry

    HumanTech – Human Centered Technologies for a Safer and Greener European Construction Industry

    The European construction industry faces three major challenges: improve its productivity, increase the safety and wellbeing of its workforce and make a shift towards a green, resource efficient indus