用于急救医疗的人工智能

Shivam Rajput, Pramod Kumar Sharma, Rishabha Malviya
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引用次数: 0

摘要

关于将人工智能(AI)和机器学习算法纳入紧急医疗服务的潜在益处的研究越来越多。人工智能正在广泛的领域寻找新的应用,其中之一是医疗保健,它被用于增强临床诊断。人工智能解决方案在提高医疗效率和质量方面具有巨大的未开发潜力,因此研究人员将重点放在急诊医学(EM)上。许多没有任何医生经验的人通常在急诊室接受他们最初的医疗护理。人工智能的实施可以使两个领域受益:减少等待时间和增强诊断能力。这项研究进一步解释了人工智能如何在急诊室中使用。还讨论了几种基于机器学习的算法。在本研究中,我们总结了人工智能在EM中使用的最新进展。本研究试图通过查看急诊科手术和临床患者管理的最新进展来总结人工智能在EM中的有用性。
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Artificial intelligence for emergency medical care
Abstract There is increasing research into the potential benefits of incorporating artificial intelligence (AI) and machine learning algorithms into emergency medical services. AI is finding new applications across a wide range of sectors, one of which is healthcare, where it is being used to enhance clinical diagnostics. AI solutions have enormous untapped potential to improve healthcare efficiency and quality, thus researchers have focused heavily on emergency medicine (EM). Many individuals without prior experience with any physician often receive their initial medical care in the emergency room. Two areas that could benefit from the implementation of AI are reducing waiting times and enhancing diagnostic capabilities. This study provides further explanation of how AI is used in emergency rooms. Several machine learning‐based algorithms are also addressed. In this research, we summarise recent developments in the use of AI in EM. This research tries to summarise the usefulness of AI in EM by looking at recent developments in emergency department operations and clinical patient management.
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