Litcius/Paper detail

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

Gabrielle Chenais, Emmanuel Lagarde, Cédric Gil‐Jardine

2022Journal of Medical Internet Research122 citationsDOIOpen Access PDF

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.

Topics & Concepts

Field (mathematics)PandemicApplications of artificial intelligenceCoronavirus disease 2019 (COVID-19)Computer sciencePoint (geometry)Artificial intelligenceData scienceDisaster medicineHealth careMedicineMedical emergencyPoison controlPolitical scienceHuman factors and ergonomicsDiseaseMathematicsPure mathematicsInfectious disease (medical specialty)GeometryPathologyLawEmergency and Acute Care StudiesArtificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AI