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What’s new in ICU in 2050: big data and machine learning

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Authors and Affiliations

  1. HP2 laboratory, University of Grenoble Alpes, Grenoble, France

    Sébastien Bailly

  2. Department of Physiology and Sleep, Grenoble Alpes University Hospital (CHU de Grenoble), Grenoble, France

    Sébastien Bailly

  3. Department of Intensive Care Medicine, University Hospitals Leuven, Herestraat 49, 3000, Louvain, Belgium

    Geert Meyfroidt

  4. Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Louvain, Belgium

    Geert Meyfroidt

  5. Inserm UMR 1137-IAME Team 5-DeSCID : Decision SCiences in Infectious Diseases, control and care INSERM/Paris Diderot, Sorbonne Paris Cité University, Paris, France

    Jean-François Timsit

  6. Medical ICU, Paris Diderot University/Bichat University Hospital, APHP, Paris, France

    Jean-François Timsit

  7. Inserm, U1042, Grenoble, France

    Sébastien Bailly

Authors
  1. Sébastien Bailly
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  2. Geert Meyfroidt
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  3. Jean-François Timsit
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Corresponding author

Correspondence to Jean-François Timsit.

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Bailly, S., Meyfroidt, G. & Timsit, JF. What’s new in ICU in 2050: big data and machine learning. Intensive Care Med 44, 1524–1527 (2018). https://doi.org/10.1007/s00134-017-5034-3

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  • DOI: https://doi.org/10.1007/s00134-017-5034-3

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