CHENAIS, Gabrielle; LAGARDE, Emmanuel; GIL-JARDINE, Cedric

doi:10.2196/40031

CHENAIS, Gabrielle
Bordeaux population health [BPH]

LAGARDE, Emmanuel

Bordeaux population health [BPH]

GIL-JARDINE, Cedric

Bordeaux population health [BPH]

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Article de revue

Ce document a été publié dans

Journal of Medical Internet Research. 2023-05-23, vol. 25, p. e40031

Résumé en anglais

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.< Réduire

Mots clés en anglais

Viewpoint

Ethics

Artificial intelligence

Emergency medicine

Perspectives

Mobile phone

URI

https://oskar-bordeaux.fr/handle/20.500.12278/182730

DOI

http://dx.doi.org/10.2196/40031

Unités de recherche

Bordeaux Population Health Research Center (BPH) - UMR 1219

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

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Résumé en anglais

Mots clés en anglais

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