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Künstliche Intelligenz im Gesundheitswesen: Historische Entwicklung

In: Handbuch Digitale Gesundheitswirtschaft

Author

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  • Thomas Ostermann

    (Universität Witten/Herdecke)

Abstract

Zusammenfassung Mit Fortschreiten der Informationstechnologie (IT) hat das Datenvolumen exponentiell zugenommen. So nahm bereits die Sequenzierung eines einzigen Genoms der menschlichen DNA in 2013 etwa 100–150 Gigabyte ein. Entsprechend hat das Datenvolumen im Gesundheitswesen nach 2011 Schätzungen zufolge 150 Exabyte überschritten und liegt in 2020 bei etwa 20 Zettabytes (1021 Bytes). Vor diesem Hintergrund ist die aktuelle Entwicklung von Big-Data-Algorithmen, Machine-Learning-Anwendungen und künstlichen neuronalen Netzen nicht verwunderlich. In diesem Kapitel werden neben einem kurzen geschichtlichen Abriss besonders Entwicklungslinien und aktuelle Trends beleuchtet.

Suggested Citation

  • Thomas Ostermann, 2023. "Künstliche Intelligenz im Gesundheitswesen: Historische Entwicklung," Springer Books, in: Sabine Bohnet-Joschko & Katharina Pilgrim (ed.), Handbuch Digitale Gesundheitswirtschaft, pages 11-14, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-41781-9_3
    DOI: 10.1007/978-3-658-41781-9_3
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