Current knowledge and availability of machine learning across the spectrum of trauma science.

Journal: Current opinion in critical care
Published Date:

Abstract

PURPOSE OF REVIEW: Recent technological advances have accelerated the use of Machine Learning in trauma science. This review provides an overview on the available evidence for research and patient care. The review aims to familiarize clinicians with this rapidly evolving field, offer perspectives, and identify existing and future challenges.

Authors

  • Tobias Gauss
    Anesthesia and Critical Care, Grenoble Alpes, University Hospital, Grenoble, France.
  • Zane Perkins
    Centre for Trauma Sciences, Queen Mary University of London, London, UK.
  • Thorsten Tjardes
    Klinik für Unfallchirurgie, Orthopädie und Sporttraumatologie Köln Merheim, Lehrstuhl für Unfallchirurgie und Orthopädie der Universität Witten/Herdecke, Kliniken der Stadt Köln gGmbH, Köln, Deutschland. ttjardes@me.com.