Hardly any other development is pre-dicted to have a greater impact on our daily working life than artificial intelli-gence (AI). A popular field of application of artificial intelligence is the so-called “machine learning”, the discipline that deals with the generation of computerised knowledge from experience through self-adaptive algoriths. Especially the high practical relevance, for example, in the field of pattern re cognition and prediction, makes machine learning a preferred field of application in the medical domain. Especially in intensive care medicine, characterised by an exceptionally high data density and widespread computer-based data acquisition routines, machine learning has recently gained relevant influence in a scientific context as well. The data density of intensive care medicine, resulting from the steadily increasing number of connected devices and data streams, makes the application of AI a preferred field of application in research and development. This opens up new horizons for practice. Thus, after validation, AI-based algorithms in future will not only be able to influence the behaviour of the professions involved, but also directly influence the treatment of patients.
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A. Peine · C. Lütge · F. Poszler · L. Celi · O. Schöffski · G. Marx · L. Martin