Suppr超能文献

人工智能在急诊医学中的应用:当前应用及可预见的机遇与挑战观点。

Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges.

机构信息

Bordeaux Population Health Center, INSERM U1219, Bordeaux, France.

Bordeaux University Hospital, Bordeaux, France.

出版信息

J Med Internet Res. 2023 May 23;25:e40031. doi: 10.2196/40031.

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.

摘要

在 COVID-19 大流行期间,急诊医学及其服务已达到临界点。这场大流行凸显了一个需要重新考虑的系统的失败,需要考虑新的方法。人工智能 (AI) 已经成熟到可以从根本上改变医疗保健的地步,而在急诊领域的应用尤其有前途。在本观点中,我们首先尝试描绘当前在日常急诊领域中使用的基于人工智能的应用程序的现状。我们回顾了现有的 AI 系统;它们的算法;以及它们的推导、验证和影响研究。我们还提出了未来的方向和观点。其次,我们研究了在急诊领域使用 AI 的伦理和风险特殊性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26d4/10245226/62b054893a72/jmir_v25i1e40031_fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验