Understanding and interpreting artificial intelligence, machine learning and deep learning in Emergency Medicine.

Journal: Emergency medicine journal : EMJ
Published Date:

Abstract

No abstract available for this article.

Authors

  • Shammi Ramlakhan
    Emergency Department, Sheffield Children's Hospital, Sheffield, UK sramlakhan@nhs.net.
  • Reza Saatchi
    Materials and Engineering Research Institute, Sheffield Hallam University, Sheffield, UK.
  • Lisa Sabir
    Emergency Department, Sheffield Children's Hospital, Sheffield, UK.
  • Yardesh Singh
    Department of Clinical Surgical Sciences, Faculty of Medical Sciences, The University of the West Indies, St Augustine, Trinidad and Tobago.
  • Ruby Hughes
    Simulation and Modelling Unit, Advanced Forming Research Centre, University of Strathclyde, Sheffield, UK.
  • Olamilekan Shobayo
    Electronics and Computer Engineering Research Institute, Sheffield Hallam University, Sheffield, UK.
  • Dale Ventour
    Department of Clinical Surgical Sciences, Faculty of Medical Sciences, The University of the West Indies, St Augustine, Trinidad and Tobago.