Künstliche Intelligenz und maschinelles Lernen in der intensivmedizinischen Forschung und klinischen Anwendung

Peine A, Lütge C, Poszler F, Celi L, Schöffski O, Marx G, Martin L (2020)

Publication Type: Journal article, Review article

Publication year: 2020

Journal

Anästhesiologie & Intensivmedizin Aktiv Dr. und Verl.

Book Volume: 61

Pages Range: 372-384

Journal Issue: 9

DOI: 10.19224/ai2020.372

Abstract

Hardly any other development is predicted to have a greater impact on our daily working life than artificial intelligence (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 recognition 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.

Authors with CRIS profile

Oliver Schöffski Lehrstuhl für Betriebswirtschaftslehre, insbesondere Gesundheitsmanagement

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) Universitätsklinikum Aachen (UKA) DE Germany (DE) Harvard-MIT Health Sciences and Technology (HST) US United States (USA) (US)

How to cite

APA:

Peine, A., Lütge, C., Poszler, F., Celi, L., Schöffski, O., Marx, G., & Martin, L. (2020). Künstliche Intelligenz und maschinelles Lernen in der intensivmedizinischen Forschung und klinischen Anwendung. Anästhesiologie & Intensivmedizin, 61(9), 372-384. https://dx.doi.org/10.19224/ai2020.372

MLA:

Peine, A., et al. "Künstliche Intelligenz und maschinelles Lernen in der intensivmedizinischen Forschung und klinischen Anwendung." Anästhesiologie & Intensivmedizin 61.9 (2020): 372-384.

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