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Fields of Application

Health & Medicine

In medicine, AI has the potential to diagnose difficult-to-detect diseases earlier and to optimize treatment. In areas where it is superior to human capabilities, it can support and relieve doctors and medical staff: in image processing, pattern recognition, the evaluation of large amounts of medical data or the comparison of symptoms. It helps with practical training and further education and allows intuitive operation of instruments and devices. Intelligent systems also actively support therapy and rehabilitation. In the area of Ambient Assisted Living, their use improves the quality of life of elderly or disadvantaged people.

News

Projects

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  1. Miracle2 - A Machine learning approach to Identify patients with Resected non-small-cell lung cAnCer with high risk of reLapsE

    MIRACLE comprises a consortium of academics and industry partners to understand how machine learning can be utilised to predict the risk of relapse for patients with resected non-small cell lung…

  2. curATarget - Atherosklerose-Targets in Thrombo-Inflammation

    Atherosklerose-Targets in Thrombo-Inflammation

    Partners

    Universitätsmedizin der Johannes Gutenberg-Universität Mainz

    TRON - Translationale Onkologie an der Universitätsmedizin der Johannes…

  3. BiosignATure - curATime: Systemorientierte, Multi-Omics-Identifikation von Biomarkersignaturen für die Detektion, Quantifizierung und Behandlung von Atherothrombose

    curATime: Systemorientierte, Multi-Omics-Identifikation von Biomarkersignaturen für die Detektion, Quantifizierung und Behandlung von Atherothrombose

    Partners

    Universitätsmedizin der Johannes…

  4. CurAIvasc - AI-based analysis of vascular imaging

    Cardiovascular diseases are among the most frequent causes of death worldwide. The pathological basis of almost all cardiovascular diseases is atherothrombosis, i.e. atherosclerotic plaque rupture in…

  5. CurAISciD - curATime AI science and development

    Das erste Ziel von curAIscid ist für den Anwendungsfall Atherothrombose und Atherosklerose dem Problem der kleinen Daten (small data) auf verschiedene Weise zu begegnen: durch Transferlernen (bei dem…

  6. MULTI-IMMERSE - MULTI-IMMERSE

    Severely ill children, who are prohibited from having direct contact with relatives, should be enabled to meet their parents or close caregivers in virtual, lifelike worlds. While healthy children and…

  7. CITAH - Cross-Industry Transformation in Agriculture and Health

    CITAH als European Digital Innovation Hub für die Leitindustrien Agrar- und Ernährungswirtschaft sowie Gesundheitswesen hat sich zum Ziel gesetzt, die digitale Transformation im niedersächsischen…

  8. SHARESPACE - Embodied Social Experiences in Hybrid Shared Spaces

    SHARESPACE will demonstrate a radically new technology for promoting ethical and social interaction in eXtended Reality

    (XR) Shared Hybrid Spaces (SHS), anchored in human sensorimotor communication.…

  9. RZZKI_SL-RLP-2 - Regionales Zukunftszentren Künstliche Intelligenz Saarland und Rheinland-Pfalz (Folgeprogramm)

    Future centers (KI); support of small and medium-sized enterprises and employees in the exemplary and participatory testing of new technologies, such as artificial intelligence, for operational…

  10. KI-AIM - AI-based anonymization in medicine

    The use of artificial intelligence (AI) offers the opportunity to fundamentally support and revolutionize knowledge-intensive activities. In business and many scientific disciplines, the changes…