Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges
| dc.rights.license | open | en_US |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | CHENAIS, Gabrielle | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | LAGARDE, Emmanuel | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | GIL-JARDINE, Cedric
ORCID: 0000-0001-5329-6405 IDREF: 159039223 | |
| dc.date.accessioned | 2023-06-21T09:08:53Z | |
| dc.date.available | 2023-06-21T09:08:53Z | |
| dc.date.issued | 2023-05-23 | |
| dc.identifier.issn | 1438-8871 (Electronic) 1438-8871 (Linking) | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/182730 | |
| dc.description.abstractEn | 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. | |
| dc.language.iso | EN | en_US |
| dc.rights | Attribution 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
| dc.subject.en | Viewpoint | |
| dc.subject.en | Ethics | |
| dc.subject.en | Artificial intelligence | |
| dc.subject.en | Emergency medicine | |
| dc.subject.en | Perspectives | |
| dc.subject.en | Mobile phone | |
| dc.title.en | Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges | |
| dc.title.alternative | J Med Internet Res | en_US |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.2196/40031 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
| dc.identifier.pubmed | 36972306 | en_US |
| bordeaux.journal | Journal of Medical Internet Research | en_US |
| bordeaux.page | e40031 | en_US |
| bordeaux.volume | 25 | en_US |
| bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | INSERM | en_US |
| bordeaux.team | AHEAD_BPH | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| hal.identifier | hal-04135765 | |
| hal.version | 1 | |
| hal.date.transferred | 2023-06-21T09:08:56Z | |
| hal.export | true | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Medical%20Internet%20Research&rft.date=2023-05-23&rft.volume=25&rft.spage=e40031&rft.epage=e40031&rft.eissn=1438-8871%20(Electronic)%201438-8871%20(Linking)&rft.issn=1438-8871%20(Electronic)%201438-8871%20(Linking)&rft.au=CHENAIS,%20Gabrielle&LAGARDE,%20Emmanuel&GIL-JARDINE,%20Cedric&rft.genre=article |
