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Artificial Intelligence Chatbots and Emergency Medical Services: Perspectives on the Implications of Generative AI in Prehospital Care
Emergency Medical Services (EMS) is likely to experience transformative changes due to the rapid advancements in artificial intelligence (AI), such as OpenAI’s ChatGPT. In this short commentary, we aim to preliminarily explore some profound implications of AI advancements on EMS systems and practice...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494922/ https://www.ncbi.nlm.nih.gov/pubmed/37701881 http://dx.doi.org/10.2147/OAEM.S420764 |
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author | Ventura, Christian Angelo I Denton, Edward E |
author_facet | Ventura, Christian Angelo I Denton, Edward E |
author_sort | Ventura, Christian Angelo I |
collection | PubMed |
description | Emergency Medical Services (EMS) is likely to experience transformative changes due to the rapid advancements in artificial intelligence (AI), such as OpenAI’s ChatGPT. In this short commentary, we aim to preliminarily explore some profound implications of AI advancements on EMS systems and practice. |
format | Online Article Text |
id | pubmed-10494922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-104949222023-09-12 Artificial Intelligence Chatbots and Emergency Medical Services: Perspectives on the Implications of Generative AI in Prehospital Care Ventura, Christian Angelo I Denton, Edward E Open Access Emerg Med Perspectives Emergency Medical Services (EMS) is likely to experience transformative changes due to the rapid advancements in artificial intelligence (AI), such as OpenAI’s ChatGPT. In this short commentary, we aim to preliminarily explore some profound implications of AI advancements on EMS systems and practice. Dove 2023-09-07 /pmc/articles/PMC10494922/ /pubmed/37701881 http://dx.doi.org/10.2147/OAEM.S420764 Text en © 2023 Ventura and Denton. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Perspectives Ventura, Christian Angelo I Denton, Edward E Artificial Intelligence Chatbots and Emergency Medical Services: Perspectives on the Implications of Generative AI in Prehospital Care |
title | Artificial Intelligence Chatbots and Emergency Medical Services: Perspectives on the Implications of Generative AI in Prehospital Care |
title_full | Artificial Intelligence Chatbots and Emergency Medical Services: Perspectives on the Implications of Generative AI in Prehospital Care |
title_fullStr | Artificial Intelligence Chatbots and Emergency Medical Services: Perspectives on the Implications of Generative AI in Prehospital Care |
title_full_unstemmed | Artificial Intelligence Chatbots and Emergency Medical Services: Perspectives on the Implications of Generative AI in Prehospital Care |
title_short | Artificial Intelligence Chatbots and Emergency Medical Services: Perspectives on the Implications of Generative AI in Prehospital Care |
title_sort | artificial intelligence chatbots and emergency medical services: perspectives on the implications of generative ai in prehospital care |
topic | Perspectives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494922/ https://www.ncbi.nlm.nih.gov/pubmed/37701881 http://dx.doi.org/10.2147/OAEM.S420764 |
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