Attitudes towards artificial intelligence in emergency medicine.

Journal: Emergency medicine Australasia : EMA
PMID:

Abstract

OBJECTIVE: To assess Australian and New Zealand emergency clinicians' attitudes towards the use of artificial intelligence (AI) in emergency medicine.

Authors

  • Jonathon Stewart
    Royal Perth Hospital, Perth, Western Australia, Australia.
  • Samuel Freeman
    SensiLab, Monash University, Melbourne, Victoria, Australia.
  • Ege Eroglu
    School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia, Australia.
  • Nicole Dumitrascu
    School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia, Australia.
  • Juan Lu
    Yunnan Agricultural University, Kunming, China.
  • Adrian Goudie
    Department of Emergency Medicine, Fiona Stanley Hospital, Murdoch, Western Australia, Australia.
  • Peter Sprivulis
    Royal Perth Hospital, Perth, Western Australia, Australia.
  • Hamed Akhlaghi
    Emergency Department, St Vincent's Hospital, Fitzroy, Melbourne, Victoria, Australia.
  • Viet Tran
    School of Medicine, University of Tasmania, Hobart, Tasmania, Australia.
  • Frank Sanfilippo
    School of Population and Global Health, University of Western Australia, Crawley, Western Australia, Australia.
  • Antonio Celenza
    School of Medicine, The University of Western Australia, Perth, Western Australia, Australia.
  • Martin Than
    Department of Emergency Medicine, Christchurch Hospital, University of Otago Christchurch, Christchurch, New Zealand. martinthan@xtra.co.nz.
  • Daniel Fatovich
    Emergency Medicine, Royal Perth Hospital, The University of Western Australia, Perth, Western Australia, Australia.
  • Katie Walker
    School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia.
  • Girish Dwivedi
    Department of Medicine, The University of Western Australia, 35 Stirling Highway, CRAWLEY Western Australia 6009, Australia.