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Auflistung nach Autor:in "Neumuth, Thomas"

1 - 5 von 5
  • Zeitschriftenartikel
    Digital health – Software as a medical device in focus of the medical device regulation (MDR)
    (it - Information Technology: Vol. 61, No. 5-6, 2019) Becker, Kurt; Lipprandt, Myriam; Röhrig, Rainer; Neumuth, Thomas
    The Medical Device Directive (MDD) will be replaced on 26.05.2020 by the new Medical Device Regulation (MDR). The European Parliament wants to create a transparent, solid, predictable and sustainable legal framework. One of the major upcoming changes effects the perspective on software as a medical device. This paper describes the fundamental relationships between the policy framework and the challenges faced by manufacturers and operators of medical devices, in particular medical software and artificial intelligence (AI) systems, who need to verify compliance. To address this topic, we review and discuss the main implications of medical device regulations on software as a medical device and digital health applications along the MDR structure. Furthermore, we address practical limitations of the implementation, such as the availability of notified bodies and costs of the approval procedure.
  • Konferenzbeitrag
    Model driven design of workflow schemata for the operating room of the future
    (INFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 1, 2010) Liebmann, Philipp; Neumuth, Thomas
    Many assistance systems are available in modern operating rooms. These systems are poorly interconnected to each other and therefore cannot provide their information in a context sensitive manner. Those systems need to be considered as distributed systems when targeting the development of an workflow management systems to pilot the control flow between surgical assist systems. To achieve the best possible interaction between the systems the workflow management engine needs a reliable description of the underlying process. Because of the high variability of the surgical process a top-down approach cannot be used. In this article we describe a model driven approach to create a workflow schema out of a Surgical Process Model (SPM).
  • Konferenzbeitrag
    NFDI4DS Infrastructure and Services
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Schimmler, Sonja; Wentzel, Bianca; Bleier, Arnim; Dietze, Stefan; Karmakar, Saurav; Mutschke, Peter; Kraft, Angelie; Taffa, Tilahun A.; Usbeck, Ricardo; Boukhers, Zeyd; Auer, Sören; Castro, Leyla J.; Ackermann, Marcel R.; Neumuth, Thomas; Schneider, Daniel; Abedjan, Ziawasch; Latif, Atif; Limani, Fidan; Abu Ahmad, Raia; Rehm, Georg; Attar Khorasani, Sima; Lieber, Matthias
    NFDI4DataScience (NFDI4DS) is a consortium founded to support researchers in all stages of the research data lifecycle in order to conduct their research in line with the FAIR principles. The infrastructure developed targets researchers from a wide range of disciplines working in the field of data science and artificial intelligence. NFDI4DS contributes to systematically understanding the needs and challenges of researchers in various disciplines regarding data science and artificial intelligence, keeping in mind ethical, legal and social aspects. The identified needs will be addressed by support structures such as educational videos and challenges. Transparency, reproducibility and FAIRness will be improved by integrating existing and newly developed services into the NFDI4DS infrastructure, and by systematically adding all digital objects (articles, data, machine learning models, workflows, scripts/code, etc.) to the NFDI4DS research knowledge graph. This paper presents the goals of NFDI4DS, and gives an overview on what the consortium is going to contribute to the data science and artificial intelligence communities. It focuses on existing and newly developed services and their integration.
  • Konferenzbeitrag
    NFDI4DS Transfer and Application
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Borisova, Ekaterina; Abu Ahmad, Raia; Rehm, Georg; Usbeck, Ricardo; D’Souza, Jennifer; Stocker, Markus; Auer, Sören; Gilsbach, Judith; Wolschewski, Anastasia; Keller, Johannes; Schneider, Daniel; Neumuth, Thomas; Schimmler, Sonja
    Due to the ever increasing importance of Data Science and Artificial Intelligence methods for a wide range of scientific disciplines, ensuring transparency and reproducibility of DS and AI methods and research findings have become essential. The NFDI4DS project promotes the findability, accessibility, interoperability, and reusability in DS and AI by developing an open integrated research data infrastructure in which all artefacts (e. g., papers, code, models, datasets) will be interlinked in a FAIR and transparent way. One of the key aspects is to build a bridge between NFDI4DS and other research communities which actively apply DS and AI methods. This paper describes the main actions taken to engage with the relevant (sub)communities.
  • Konferenzbeitrag
    Ontological modelling of surgical knowledge
    (Informatik 2009 – Im Focus das Leben, 2009) Mudunuri, Raj; Burgert, Oliver; Neumuth, Thomas