Development of a machine learning-based real-time location system to streamline acute endovascular intervention in acute stroke: a proof-of-concept study.

Journal: Journal of neurointerventional surgery
Published Date: Aug 23, 2021

Abstract

BACKGROUND: Delivery of acute stroke endovascular intervention can be challenging because it requires complex coordination of patient and staff across many different locations. In this proof-of-concept paper we (a) examine whether WiFi fingerprinting is a feasible machine learning (ML)-based real-time location system (RTLS) technology that can provide accurate real-time location information within a hospital setting, and (b) hypothesize its potential application in streamlining acute stroke endovascular intervention.

Authors

  • Dee Zhen Lim
    Department of Radiology, Austin Health, Heidelberg, Victoria, Australia deezhenlim@gmail.com.
  • Melissa Yeo
    Melbourne Medical School, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia melissayeoxw@gmail.com.
  • Ariel Dahan
    Department of Radiology, Austin Health, Heidelberg, Victoria, Australia.
  • Bahman Tahayori
    Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia.
  • Hong Kuan Kok
    Interventional Radiology Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland.
  • Mohammad Abbasi-Rad
    Programmer, Melbourne, Victoria, Australia.
  • Julian Maingard
    School of Medicine, Deakin University Faculty of Health, Burwood, Victoria, Australia.
  • Numan Kutaiba
    Department of Radiology, Austin Health, Heidelberg, Victoria, Australia.
  • Jeremy Russell
    Department of Neurosurgery, Austin Health, Heidelberg, Victoria, Australia.
  • Vincent Thijs
    Stroke Theme, Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia.
  • Ashu Jhamb
    Department of Radiology, St Vincent's Hospital Melbourne Pty Ltd, Fitzroy, Victoria, Australia.
  • Ronil V Chandra
    5 Interventional Neuroradiology Service, Monash Imaging, Monash Health, Clayton, Australia.
  • Mark Brooks
    5 Interventional Neuroradiology Service, Monash Imaging, Monash Health, Clayton, Australia.
  • Christen Barras
    School of Medicine, University of Adelaide, Adelaide, South Australia, Australia.
  • Hamed Asadi
    Neurointerventional Service, Department of Radiology, Beaumont Hospital, Dublin, Ireland; School of Medicine, Faculty of Health, Deakin University, Waurn Ponds, Australia. Electronic address: asadi.hamed@gmail.com.

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