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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2023-05-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2023/1/e40031 |
| _version_ | 1797734113785937920 |
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| author | Gabrielle Chenais Emmanuel Lagarde Cédric Gil-Jardiné |
| author_facet | Gabrielle Chenais Emmanuel Lagarde Cédric Gil-Jardiné |
| author_sort | Gabrielle Chenais |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-12T12:39:35Z |
| format | Article |
| id | doaj.art-a4bf9922567b48cc977a0fdc32944178 |
| institution | Directory Open Access Journal |
| issn | 1438-8871 |
| language | English |
| last_indexed | 2024-03-12T12:39:35Z |
| publishDate | 2023-05-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj.art-a4bf9922567b48cc977a0fdc329441782023-08-28T23:57:47ZengJMIR PublicationsJournal of Medical Internet Research1438-88712023-05-0125e4003110.2196/40031Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and ChallengesGabrielle Chenaishttps://orcid.org/0000-0003-2006-6149Emmanuel Lagardehttps://orcid.org/0000-0001-8031-7400Cédric Gil-Jardinéhttps://orcid.org/0000-0001-5329-6405 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.https://www.jmir.org/2023/1/e40031 |
| spellingShingle | Gabrielle Chenais Emmanuel Lagarde Cédric Gil-Jardiné Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges Journal of Medical Internet Research |
| 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 |
| url | https://www.jmir.org/2023/1/e40031 |
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