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Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges
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 t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245226/ https://www.ncbi.nlm.nih.gov/pubmed/36972306 http://dx.doi.org/10.2196/40031 |
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author | Chenais, Gabrielle Lagarde, Emmanuel Gil-Jardiné, Cédric |
author_facet | Chenais, Gabrielle Lagarde, Emmanuel Gil-Jardiné, Cédric |
author_sort | Chenais, Gabrielle |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10245226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-102452262023-06-08 Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges Chenais, Gabrielle Lagarde, Emmanuel Gil-Jardiné, Cédric J Med Internet Res Viewpoint 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. JMIR Publications 2023-05-23 /pmc/articles/PMC10245226/ /pubmed/36972306 http://dx.doi.org/10.2196/40031 Text en ©Gabrielle Chenais, Emmanuel Lagarde, Cédric Gil-Jardiné. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 23.05.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Viewpoint Chenais, Gabrielle Lagarde, Emmanuel Gil-Jardiné, Cédric Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges |
title | Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges |
title_full | Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges |
title_fullStr | Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges |
title_full_unstemmed | Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges |
title_short | Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges |
title_sort | artificial intelligence in emergency medicine: viewpoint of current applications and foreseeable opportunities and challenges |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245226/ https://www.ncbi.nlm.nih.gov/pubmed/36972306 http://dx.doi.org/10.2196/40031 |
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