Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges
114
Zitationen
3
Autoren
2022
Jahr
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.
Ähnliche Arbeiten
A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
1987 · 49.535 Zit.
APACHE II
1985 · 13.611 Zit.
Cochrane Database of Systematic Reviews
2003 · 11.318 Zit.
The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care.
1974 · 8.023 Zit.
Infectious Diseases Society of America/American Thoracic Society Consensus Guidelines on the Management of Community-Acquired Pneumonia in Adults
2007 · 6.224 Zit.