References
LeCun Y, Bengio Y, Hinton G. Deep Learning. Nature 521, 436–444 (2015).
Esteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., Cui, G., Corrado, G., Thrun, S., Dean, J. A guide to deep learning in healthcare. Nature Medicine, Volume 25, pp. 24–29, (2019).
Yu, K.-H., Beam, A. L., and Kohane, I. S. Artificial intelligence in healthcare. Nature Biomedical Engineering 2(10), 719–713, doi: https://doi.org/10.1038/s41551-018-0305-z (2018).
Strickland, E. IBM Watson, heal thyself: How IBM overpromised and underdelivered on AI health care, IEEE Spectrum, 56(4), 24–31 (2019).
Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology 2017;2:doi: https://doi.org/10.1136/svn-2017-000101, 2017.
Wang, F., Preininger, A. AI in Health: State of the Art, Challenges, and Future Directions. Yearbook of Medical Informatics, 28(01): 016–026 (2019)
Bundesministerium für Wirtschaft und Energie. Gewinner des KI-Innovationswettbewerbs stehen fest. [Online] 19. September 2019. https://www.bmwi.de/Redaktion/DE/Pressemitteilungen/2019/20190919-gewinner-des-ki-innovationswettbewerbs-stehen-fest.html (2019).
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Stefan Fischer Stefan Fischer is a full professor in Computer Science at the University of Lübeck, Germany, and the director of the Institute for Telematics. He is also a Vice President of the university, responsible for technology transfer and digitization. His research interest is currently focused on network and distributed system structures such as ad-hoc and sensor networks, Internet of Things, Smart Cities and nano communications. He has (co-)authored more than 200 scientifi c books and articles.
Martin Leucker Martin Leucker is currently a professor at the University of Lübeck, Germany heading the Institute of Software Engineering and Programming Languages. He obtained his Ph. D. at the RWTH Aachen, Germany and afterwards, he worked as a Postdoc at the University of Philadelphia, USA and at the Uppsala University, Sweden. He pursued his habilitation at the TU München, Germany. He is the author of more than 100 peer reviewed conference and journal papers ranging over software engineering, formal methods and theoretical computer science.
Christoph Lüth Christoph Lüth is vice director of the rCyber-Physical Systems group at the German Research Centre for Artifi cial Intelligence (DFKI) in Bremen, and professor for computer science at the University of Bremen. His research covers the whole area of formal methods, from theoretical foundations to tool development and applications in practical areas such as robotics. He has authored or co-authored over eighty peerreviewed papers, and was the principal investigator in several successful research projects in this area.
Thomas Martinetz Thomas Martinetz is full professor of computer science and director of the Institute for Neuro- and Biocomputing at the University of Lübeck. He studied Physics at the TU Munich and the University of Illinois at Urbana-Champaign. Prior to Lübeck he developed Neural Networks for automation control at the Corporate Research Laboratories of the Siemens AG, was Managing Director and co-owner of the leading face recognition company in Germany, and professor for Neural Computation at the Ruhr-University of Bochum.
Raimund Mildner Raimund Mildner is an Economist and Social Scientist. He currently is Project-Consultant to the University of Lübeck for diverse AI- and other technology- related projects, mainly in the clinical application domain of Medical Devices as well as in Logistics and Industry4.0. Before he was longstanding CEO of the Technology/Science-/StartUp-Center Lübeck and UniTransferKlinik Ltd. He has hold several supervisory board seats in companies and scientific institutions.
Dirk Nowotka Dirk Nowotka leads the Dependable Systems group of the Computer Science department at Kiel University, Germany. Prior to joining Kiel as a HeisenbergProfessor in 2011, he was a research scientist at the Stuttgart University (2004-2011), Germany, where he gained his habilitation, and the ETH Zürich (2004), Switzerland. He completed his PhD in mathematics from the University of Turku (2004), Finland. Dirk’s primary field of research is the theory and practice of automated mathematical and logical procedures for the safety and security analysis of software systems. One particular research interest of him is safety in the field of artificial intelligence.
Frank Steinicke Frank Steinicke is full professor for Human-Computer Interaction at the Department of Informatics at the Universität Hamburg, and since 2018 he is head of the Department of Informatics. Before he joined Universität Hamburg, he was Professor at Julius-Maximilians-Universität in Würzburg (2011-2014), and Guest Associate Professor at the University of Minnesota (2009). His research is driven by understanding the human perceptual, cognitive and motor abilities and limitations in order to reform the interaction as well as the experience in computer-mediated realities.
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Fischer, S., Leucker, M., Lüth, C. et al. KI-SIGS: Artificial Intelligence for the Northern German Health Ecosystem. Digitale Welt 4, 49–54 (2020). https://doi.org/10.1007/s42354-019-0232-5
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DOI: https://doi.org/10.1007/s42354-019-0232-5