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IRMA : Individual physiological reaction patterns during surgical procedures using the example of laparoscopic surgery
Get PDFDas Wiederaufleben von Pay-for-Performance. Ein Ansatz zur Optimierung der Vergütung von Digitalen Gesundheitsanwendungen
No full textDigitale Gesundheitsanwendungen sind mittlerweile seit mehreren Jahren Bestandteil der deutschen Gesundheitsversorgung. Dieses Versorgungsangebot wird derzeit auf Downloadzahlen basierend vergütet, was die Qualität der Versorgung und die Nutzung der Anwendung nicht adäquat berücksichtigt. Demgegenüber steht das Konzept Pay-for-Performance (P4P), welches als alternative Vergütungsform den Versorgungsbereich mit Digitalen Gesundheitsanwendungen weithin optimieren könnte
KImAge - AI-supported systematization of views on ageing in everyday life across the lifespan
No full textA Road Less Travelled and Beyond : Towards a Roadmap for Integrating Sustainability into Computing Education
No full textEducation for sustainable development has evolved to include more constructive approaches and a better understanding of what is needed to align education with the cultural, societal, and pedagogical changes required to avoid the risks posed by an unsustainable society. This evolution aims to lead us toward viable, equitable, and sustainable futures. However, computing education, including software engineering, is not fully aligned with the current understanding of what is needed for transformational learning in light of our current challenges. This is partly because computing is primarily seen as a technical field, focused on industry needs. Until recently, sustainability was not a high priority for most businesses, including the digital sector, nor was it a prominent focus for higher education institutions and society. Given these challenges, we aim to propose a research roadmap to integrate sustainability principles and essential skills into the crowded computing curriculum, nurturing future software engineering professionals with a sustainability mindset. We conducted two extensive studies: a systematic review of academic literature on sustainability in computing education and a survey of industry professionals on their interest in sustainability and desired skills for graduates. Using insights from these studies, we identified key topics for teaching sustainability, including core sustainability principles, values and ethics, systems thinking, impact measurement, soft skills, business value, legal standards, and advocacy. Based on these findings, we will develop recommendations for future computing education programs that emphasise sustainability
Untersuchung gradierter Materialeigenschaften bei der additiven Fertigung von Bauteilen aus AlSi10M
No full textExplainable Object Classification : Integrating Object Parts/Attributes and Expertise
No full textWhile AI’s accuracy is impressive, it often operates opaquely, leaving users puzzled by its decisions. Explainable AI (XAI) seeks to demystify these processes, yet it encounters usability hurdles, often favouring developers over end-users. This paper introduces EXPERT-DUO, a flexible framework for Explainable Object Classification. While demonstrated in the domain of surgical tool classification, EXPERT-DUO is a versatile system applicable across domains. Operating as an assistant system for the users, the framework accommodates varying levels of domain knowledge and provides understandable decisions through a hierarchical methodology. The framework pipeline starts by segmenting the object parts, recognizing and classifying the object parts that make up the main object, progresses to attribute classification, and culminates in the classification of the complete object using an expert decision tree that encodes the domain knowledge. EXPERT-DUO aims to assist users by offering transparent and understandable reasoning for the object classifications. This unique approach enables users to make rational and informed judgments regarding their trust in the model’s decisions. Experimental results within the surgical context demonstrate the effectiveness of the approach. These results underscore EXPERT-DUO’s potential to enhance user confidence in AI systems across a spectrum of domains, thereby facilitating more widespread adoption and utilization of AI technologies
Exploring the Experiences of Times Without Care and Encounters in Persons With Dementia in the Swiss and German Nursing Home and Domiciliary Care Settings: Protocol for an Ethnographic Multimethods Study
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