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Review
. 2023 May 23:25:e40031.
doi: 10.2196/40031.

Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges

Gabrielle Chenais #  1 , Emmanuel Lagarde #  1 , Cédric Gil-Jardiné #  1   2
Affiliations
Review

Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges

Gabrielle Chenais et al. J Med Internet Res. .

Abstract

Emergency medicine and its services have reached a breaking point during the COVID-19 pandemic. This pandemic has highlighted the failures of a system that needs to be reconsidered, and novel approaches need to be considered. Artificial intelligence (AI) has matured to the point where it is poised to fundamentally transform health care, and applications within the emergency field are particularly promising. In this viewpoint, we first attempt to depict the landscape of AI-based applications currently in use in the daily emergency field. We review the existing AI systems; their algorithms; and their derivation, validation, and impact studies. We also propose future directions and perspectives. Second, we examine the ethics and risk specificities of the use of AI in the emergency field.

Keywords: artificial intelligence; emergency medicine; ethics; mobile phone; perspectives; viewpoint.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Artificial intelligence’s business landscape in emergency medicine in 2022. AI: artificial intelligence; ED: emergency department; EMD: emergency medical dispatch.
Figure 2
Figure 2
The emergency patient journey and where artificial intelligence is making or can make an impact. AI: artificial intelligence; ED: emergency department; EMD: emergency medical dispatch.
Figure 3
Figure 3
Gradient boosting explanation.
Figure 4
Figure 4
The human digital twin.
Figure 5
Figure 5
Life cycle and key dimensions of an artificial intelligence (AI) system. Extracted from National Institute of Standards and Technology [101]. TEVV: test, evaluation, verification, and validation.
Figure 6
Figure 6
Misaligned goals in artificial intelligence (AI).
See this image and copyright information in PMC

References

    1. Pines J, Pollack CV, Diercks DB, Chang AM, Shofer FS, Hollander JE. The association between emergency department crowding and adverse cardiovascular outcomes in patients with chest pain. Acad Emerg Med. 2009 Jul;16(7):617–25. doi: 10.1111/j.1553-2712.2009.00456.x. https://onlinelibrary.wiley.com/doi/10.1111/j.1553-2712.2009.00456.x ACEM456 - DOI - DOI - PubMed
    1. Richardson D, Kelly A, Kerr D. Prevalence of access block in Australia 2004-2008. Emerg Med Australas. 2009 Dec;21(6):472–8. doi: 10.1111/j.1742-6723.2009.01241.x.EMM1241 - DOI - PubMed
    1. Hooker EA, Mallow PJ, Oglesby MM. Characteristics and trends of emergency department visits in the United States (2010-2014) J Emerg Med. 2019 Mar;56(3):344–51. doi: 10.1016/j.jemermed.2018.12.025.S0736-4679(18)31217-4 - DOI - PubMed
    1. Hoot NR, Aronsky D. Systematic review of emergency department crowding: causes, effects, and solutions. Ann Emerg Med. 2008 Aug;52(2):126–36. doi: 10.1016/j.annemergmed.2008.03.014. https://europepmc.org/abstract/MED/18433933 S0196-0644(08)00606-9 - DOI - PMC - PubMed
    1. Chalfin DB, Trzeciak S, Likourezos A, Baumann BM, Dellinger RP. Impact of delayed transfer of critically ill patients from the emergency department to the intensive care unit*. Critical Care Med. 2007;35(6):1477–83. doi: 10.1097/01.ccm.0000266585.74905.5a. - DOI - PubMed

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