Integrating artificial intelligence in bedside care for covid-19 and future pandemics.

Journal: BMJ (Clinical research ed.)
Published Date:

Abstract

examine the challenges in developing AI tools for use at point of care

Authors

  • Michael Yu
    Center for Integration and Analysis of Medical Data (CITADEL), Department of Medicine, University of Montreal, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada.
  • An Tang
    Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, Canada.
  • Kip Brown
    Center for Integration and Analysis of Medical Data (CITADEL), Department of Medicine, University of Montreal, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada.
  • Rima Bouchakri
    Center for Integration and Analysis of Medical Data (CITADEL), Department of Medicine, University of Montreal, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada.
  • Pascal St-Onge
    Center for Integration and Analysis of Medical Data (CITADEL), Department of Medicine, University of Montreal, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada.
  • Sheng Wu
    Department of Digital Health and Innovation, Division of the Chief Scientist, World Health Organization, Geneva, Switzerland.
  • John Reeder
    Department of Research for Health, Division of the Chief Scientist, World Health Organization, Geneva, Switzerland.
  • Louis Mullie
    Center for Integration and Analysis of Medical Data (CITADEL), Department of Medicine, University of Montreal, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada.
  • Michaël Chassé
    Center for Integration and Analysis of Medical Data (CITADEL), Department of Medicine, University of Montreal, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada.