@misc{Weber, author = {Weber, Karsten}, title = {Die {\"u}blichen Verd{\"a}chtigen - automatisierte Strafverfolgung aus Perspektive der Technikfolgenabsch{\"a}tzung und Technikbewertung}, language = {de} } @misc{Weber, author = {Weber, Karsten}, title = {Nutzungsdauer und Recycling softwareabh{\"a}ngiger Ger{\"a}te - Herausforderungen und m{\"o}gliche L{\"o}sungsans{\"a}tze}, language = {de} } @misc{Weber, author = {Weber, Karsten}, title = {Digitalisierung, KI, Robotik - Visionen f{\"u}r die Gesundheitsversorgung von morgen}, language = {de} } @misc{Weber, author = {Weber, Karsten}, title = {Verstand, Vernunft, Seele: Was unterscheidet KI-Systeme von Menschen?}, language = {de} } @misc{Weber, author = {Weber, Karsten}, title = {KI und Big Data: Wenn ein Hype zum ethischen Stolperstein wird}, language = {de} } @article{TroesterEcksteinKenneletal., author = {Tr{\"o}ster, Mark and Eckstein, Simon and Kennel, Paula and Kopp, Verna and Benkiser, Alina and Bihlmeier, Felicitas and Daub, Urban and Maufroy, Christophe and Dendorfer, Sebastian and Fritzsche, Lars and Schneider, Urs and Bauernhasl, Thomas}, title = {Person-specific evaluation method for occupational exoskeletons - Biomechanical body heat map}, series = {Applied Ergonomics}, volume = {132}, journal = {Applied Ergonomics}, publisher = {Elsevier}, doi = {10.1016/j.apergo.2025.104671}, pages = {30}, abstract = {Human-centred and ergonomic work design is one of the most important drivers for increasing the competitiveness of the European Union. As a flexible, person-specific occupational measure, exoskeletons promise great potential for effectively reducing individual ergonomic stress. Digital human models can provide important insights and offer great potential for systematising the effect and targeted use of exoskeletons, supporting their effective implementation in practice. In this article, digital human models are applied on two levels. Firstly, a realistic industrial logistics scenario in which boxes had to be relocated is designed with the help of a digital human model for workplace and process planning and secondly, a new biomechanical evaluation methodology to analyse intended and unintended effects on internal stress on the human body is demonstrated by applying musculoskeletal exoskeleton human models of four test subjects. Finally, the modelled biomechanical support tendencies of one exoskeleton are preliminary validated using EMG measurement data of the back muscles collected from the four male workers. The preliminary analysis of two back-support exoskeletons to demonstrate the new methodological approach confirms the expected, intended effects in the lower back and reveals unintended effects, such as e.g. changes in knee kinetics when applying a soft or hard-frame exoskeleton. Furthermore, the exemplary results to demonstrate the methodological approach expose notable differences between the test subjects, which underlines the relevance of person-specific evaluation and consideration of exoskeleton support. The preliminary validation shows a correlation between the modelled and the EMG-measured biomechanical exoskeleton support of the considered back muscles.}, language = {en} } @misc{Weber, author = {Weber, Karsten}, title = {Aspekte der sozialen Nachhaltigkeit am Beispiel des Einsatzes von KI. Ergebnisse einer Befragung von zivilgesellschaftlichen Organisationen in der Grenzregion im Bereich Umweltschutz, Sozial- und Gesundheitswesen}, language = {de} } @misc{Weber, author = {Weber, Karsten}, title = {Zwischen Fortschritt und Verantwortung: KI, Nachhaltigkeit und wir}, language = {de} } @misc{Weber, author = {Weber, Karsten}, title = {K{\"u}nstliche Intelligenz: {\"O}konomische und ethische Aspekte}, language = {de} } @misc{Weber, author = {Weber, Karsten}, title = {KI ./. Demokratie}, language = {de} } @article{Seifert, author = {Seifert, Ruth}, title = {The "Human Rights Profession" and War: Humanitarian Help and Social Work in Armed Conflicts}, series = {Journal of Human Rights and Social Work}, volume = {9}, journal = {Journal of Human Rights and Social Work}, number = {3}, publisher = {Springer Nature}, doi = {10.1007/s41134-024-00349-5}, pages = {360 -- 371}, abstract = {Whereas, in the past, social work publications dealing with armed conflict were of interest to a relatively small community; beginning with the Ukraine conflict, this issue has moved into the center of social work discourses. This has raised issues concerning the positioning of social work in political and armed conflict again. Looking at the literature on social work and armed conflicts, it is generally assumed that the definition of the human rights profession also holds for social work in situations of violent collective conflicts. This, however, raises questions. This paper will argue that antinomies emerge for social work resulting from the definition as a human rights profession and the realities of humanitarian work in armed conflicts which have yet to be dealt with.}, language = {en} } @article{SchmiedtEmpacherKamps, author = {Schmiedt, Anja B. and Empacher, Christina and Kamps, Udo}, title = {One- and two-sided prediction intervals for future Pareto record values with applications}, series = {Journal of Statistical Theory and Applications}, journal = {Journal of Statistical Theory and Applications}, publisher = {Springer}, issn = {2214-1766}, doi = {10.1007/s44199-025-00119-w}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-81605}, pages = {26}, abstract = {Based on upper record values in a series of observations over time from a Pareto distribution, an exact and several approximate one-sided and two-sided prediction intervals for the next record value (or for another future record value) to appear are studied and compared by means of an extensive simulation study. The performances of the prediction intervals are evaluated and recommendations are proposed for what method should be used in a given situation with respect to the form of the prediction interval on the one hand and to the tail behaviour on the other. The proposed methods are applied to insurance, environmental and sports data, where the respectively fitted Pareto distributions show a different tail behaviour. As a result, it is seen that although the number of observed record values in the presented real data applications is rather small, as it is usually the case, the selected prediction intervals are of practical use.}, language = {en} } @article{DotterHaugSchnelletal., author = {Dotter, Caroline and Haug, Sonja and Schnell, Rainer and Raptis, Georgios and Weber, Karsten}, title = {Sharing health data for research purposes: results of a population survey in Germany}, series = {BMC health services research}, volume = {25}, journal = {BMC health services research}, publisher = {BMC}, doi = {10.1186/s12913-025-12706-9}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-81622}, pages = {9}, abstract = {BACKGROUND: Increased use of health data has the potential to improve both health care and health policies. Several recent policy initiatives at the European and German legislative levels aim to increase the primary and secondary use of health data. However, little is known about general population views on health data access for research. Most studies are based on subsets defined by specific illnesses. METHODS: We commissioned a national computer-assisted dual-frame telephone survey (landline and mobile). Logit estimation models were used to identify predictors of willingness to provide access to health data to different organizations (universities in Germany, universities worldwide, German government organizations, pharmaceutical companies). RESULTS: A high willingness to share health data for research purposes is observed, depending on the specific data recipient. The willingness is highest for research at universities in Germany and German governmental organizations, and lowest regarding research by pharmaceutical companies. The main drivers for sharing health data are the level of trust in public institutions, the respondents' assessment of the seriousness and likelihood of data misuse, and the level of digital literacy. Age, gender, and level of education have small effects and do not determine the willingness to share health data for all organizations. CONCLUSION: We present evidence from a random sample of the German population. The results indicate widespread support among the population for providing access to health data for research purposes. Similar to findings in other countries, the willingness depends strongly on the recipient of the data. This paper evaluates the impact of various determinants - identified in previous qualitative and quantitative research - on the willingness of the German population to share health data. While previous studies have found that patients are generally more willing to share health data, we found that the presence of a medical precondition does not translate into respondents' unequivocal support for health data sharing. We identify privacy concerns, general trust, and digital literacy as key factors influencing the willingness to share health data. Therefore, policymakers and stakeholders need to ensure and communicate the necessary privacy protection measures to increase the willingness of the German population to share health data.}, language = {en} } @techreport{MarenJulianeRobertetal., type = {Working Paper}, author = {Maren, Bredehorst and Juliane, Leinweber and Robert, Richter and Pfingsten, Andrea}, title = {HVG-Positionspapier f{\"u}r die Therapiewissenschaften}, edition = {Version 2 (Stand 11.09.2024)}, organization = {Fachkommission Forschung im Hochschulverbund Gesundheitsfachberufe (HVG) e.V.}, doi = {10.5281/zenodo.15127354}, pages = {1 -- 7}, abstract = {Zeitgem{\"a}ße Therapie ist effektiv, effizient, personenzentriert und teilhabeorientiert. Ergotherapie, Logop{\"a}die/Sprachtherapie und Physiotherapie (im Folgenden kurz: ELP) sind gesellschaftlich relevant und essenzieller Bestandteil einer nachhaltigen Gesundheitsversorgung. Die Therapiewissenschaften forschen in diesen und f{\"u}r diese T{\"a}tigkeitsfelder, indem sie M{\"o}glichkeiten der Gesundheitsf{\"o}rderung, der Pr{\"a}vention und Behandlung von Krankheiten sowie der entsprechenden Beratung und Begleitung von Menschen evaluieren, verbessern und erweitern. Wer, wenn nicht die qualifizierten Therapeut*innen selbst, stellt Forschungsfragen und verfolgt Forschungsinteressen, durch die belastbares Wissen zu diesen Therapien entsteht? Dieses Positionspapier der Fachkommission Forschung im HVG e.V. wurde entwickelt als Referenz zur Forschungslandschaft der ELP. Es ist als Argumentationshilfe sowohl innerhalb der genannten Berufsgruppen als auch nach außen gedacht, um die Voraussetzungen f{\"u}r die Therapiewissenschaften und die therapeutische Forschung zu verbessern.}, language = {de} } @misc{Weber, author = {Weber, Karsten}, title = {K{\"u}nstliche Intelligenz als vielschichtige Herausforderung}, language = {de} } @book{Kriza, author = {Kriza, Thomas}, title = {Ethische Fragen der Digitalisierung und ihre Thematisierung in Forschung und Lehre an Hochschulen}, series = {Interdisziplinarit{\"a}t in der Hochschullehre}, journal = {Interdisziplinarit{\"a}t in der Hochschullehre}, editor = {Lerch, Sebastian}, publisher = {wbv Publikation}, address = {Bielefeld}, isbn = {9783763974610}, doi = {10.3278/9783763974610}, pages = {45 -- 58}, abstract = {Die Digitalisierung als fortschreitende Durchdringung aller Lebensbereiche durch Informationstechnik geht mit gesellschaftlichen Transformationsprozessen und weitreichenden ethischen Fragen einher. Diese Fragen haben einen transdisziplin{\"a}ren Charakter in dem Sinne, dass sie sich nur durch ein {\"U}berschreiten von fachlichen Perspektiven einzelner wissenschaftlicher Disziplinen und durch eine ganzheitliche Bezugnahme auf gesellschaftliche Auswirkungen angemessen adressieren lassen. Anhand der technischen M{\"o}glichkeiten von Big Data Analytics l{\"a}sst sich aufzeigen, wie disziplin{\"u}bergreifende wissenschaftliche Forschungen zu technischen Anwendungen f{\"u}hren k{\"o}nnen, die gewichtige, gesellschaftlich relevante Fragen nach ihrer ethischen Vertretbarkeit aufwerfen. Diese k{\"o}nnen in letzter Konsequenz auch ethische Grundprinzipien und Auffassungen des Menschseins ins Wanken bringen. Besonders pr{\"a}gnant l{\"a}sst sich dies mit den Studien des Big-Data-Forschers Michal Kosinski und seines Forscherkreises sowie den daraus resultierenden Anwendungen von Unternehmen wie Cambridge Analytica vor Augen f{\"u}hren: Die Analyse von großen Mengen digitaler pers{\"o}nlicher Daten er{\"o}ffnet umfassende M{\"o}glichkeiten zur Verhaltensbeeinflussung und stellt dabei sehr weitreichend auch ethische Grundwerte wie Privatheit in Frage. Universit{\"a}ten und Hochschulen sind aufgefordert, durch transdisziplin{\"a}re Lehre und Forschung die ethischen Fragen der Digitalisierung als bestimmende Themen der Gegenwart direkt zu adressieren.}, language = {de} } @book{Richter, author = {Richter, Stefanie}, title = {Essst{\"o}rung}, edition = {2., durchgesehene Aufl.}, address = {Regensburg}, isbn = {978-3-96256-101-7}, doi = {10.35096/othr/pub-6005}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-60052}, publisher = {Ostbayerische Technische Hochschule Regensburg}, pages = {492}, abstract = {Die Studie bietet anhand von erz{\"a}hlten Lebensgeschichten einen systematischen Einblick in die Erlebnis- und Erfahrungswelt von Menschen mit »Essst{\"o}rungen«. Sichtbar werden Entwicklungsb{\"o}gen von der Entstehung {\"u}ber die Verfestigung bis zu den verschiedenen Bew{\"a}ltigungsversuchen sowie Ressourcen und Kompetenzen der Protagonistinnen. Diese Perspektive erm{\"o}glicht ein Neuverstehen des Ph{\"a}nomens »Essst{\"o}rung«, das {\"u}ber die g{\"a}ngigen defizit{\"a}ren Konzeptionen hinausgeht und Konsequenzen f{\"u}r eine ressourcenorientierte Begleitung von Menschen mit »Essst{\"o}rungen« aufzeigt. Das Buch richtet sich gleichermaßen an Professionelle, Betroffene und Angeh{\"o}rige.}, subject = {Essst{\"o}rung}, language = {de} } @misc{RueckertRueckertPalm, author = {R{\"u}ckert, Tobias and R{\"u}ckert, Daniel and Palm, Christoph}, title = {Corrigendum to "Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art" [Comput. Biol. Med. 169 (2024) 107929]}, series = {Computers in Biology and Medicine}, journal = {Computers in Biology and Medicine}, publisher = {Elsevier}, doi = {10.1016/j.compbiomed.2024.108027}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-70337}, pages = {1}, abstract = {The authors regret that the SAR-RARP50 dataset is missing from the description of publicly available datasets presented in Chapter 4.}, language = {en} } @article{HammerNunesHammeretal., author = {Hammer, Simone and Nunes, Danilo Weber and Hammer, Michael and Zeman, Florian and Akers, Michael and G{\"o}tz, Andrea and Balla, Annika and Doppler, Michael Christian and Fellner, Claudia and Da Platz Batista Silva, Natascha and Thurn, Sylvia and Verloh, Niklas and Stroszczynski, Christian and Wohlgemuth, Walter Alexander and Palm, Christoph and Uller, Wibke}, title = {Deep learning-based differentiation of peripheral high-flow and low-flow vascular malformations in T2-weighted short tau inversion recovery MRI}, series = {Clinical hemorheology and microcirculation}, journal = {Clinical hemorheology and microcirculation}, edition = {Pre-press}, publisher = {IOP Press}, doi = {10.3233/CH-232071}, pages = {1 -- 15}, abstract = {BACKGROUND Differentiation of high-flow from low-flow vascular malformations (VMs) is crucial for therapeutic management of this orphan disease. OBJECTIVE A convolutional neural network (CNN) was evaluated for differentiation of peripheral vascular malformations (VMs) on T2-weighted short tau inversion recovery (STIR) MRI. METHODS 527 MRIs (386 low-flow and 141 high-flow VMs) were randomly divided into training, validation and test set for this single-center study. 1) Results of the CNN's diagnostic performance were compared with that of two expert and four junior radiologists. 2) The influence of CNN's prediction on the radiologists' performance and diagnostic certainty was evaluated. 3) Junior radiologists' performance after self-training was compared with that of the CNN. RESULTS Compared with the expert radiologists the CNN achieved similar accuracy (92\% vs. 97\%, p = 0.11), sensitivity (80\% vs. 93\%, p = 0.16) and specificity (97\% vs. 100\%, p = 0.50). In comparison to the junior radiologists, the CNN had a higher specificity and accuracy (97\% vs. 80\%, p <  0.001; 92\% vs. 77\%, p <  0.001). CNN assistance had no significant influence on their diagnostic performance and certainty. After self-training, the junior radiologists' specificity and accuracy improved and were comparable to that of the CNN. CONCLUSIONS Diagnostic performance of the CNN for differentiating high-flow from low-flow VM was comparable to that of expert radiologists. CNN did not significantly improve the simulated daily practice of junior radiologists, self-training was more effective.}, language = {en} } @article{SchieglSchrollDeckerKurbel, author = {Schiegl, Corina and Schroll-Decker, Irmgard and Kurbel, Matthias}, title = {Potenzial trotz schwerer Krankheit : {\"U}bergangswohnform zur außerklinischen Beatmungsentw{\"o}hnung er{\"o}ffnet Option zur Selbstbestimmung}, series = {Forum Sozialarbeit + Gesundheit}, volume = {31}, journal = {Forum Sozialarbeit + Gesundheit}, number = {1}, publisher = {utb}, address = {Stuttgart}, abstract = {Selbstbestimmung gilt als wesentlicher Wert in der Sozialen Arbeit. Wenn Menschen ihre Bed{\"u}rfnisse kennen und {\"a}ußern k{\"o}nnen, tr{\"a}gt dies zum Wohlbefinden bei und steigert die subjektive Lebensqualit{\"a}t. Die Interventionen Sozialer Arbeit sollen es daher erm{\"o}glichen, dass Menschen {\"u}ber ihre eigenen Lebensbedingungen Kontrolle erhalten. Wie gestaltet sich aber die Selbstbestimmung bei einer Intensivpflegebed{\"u}rftigkeit? Dieser Beitrag thematisiert, wie schwer erkrankte Menschen, die beispielsweise von einem Beatmungsger{\"a}t abh{\"a}ngig sind, ihre Selbstbestimmung verstehen. Anhand der Ergebnisse einer qualitativen Studie wird gezeigt, welche Aspekte von Selbstbestimmung bei schwersten krankheitsbedingten Einschr{\"a}nkungen individuell priorisiert werden.}, language = {de} }