Trends in Smart Healthcare Systems for Smart Cities Applications

Mostafa A. Elhosseini, Natheer Khlaif Gharaibeh, W. Abu-Ain
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引用次数: 1

Abstract

Consider the most important lessons learned from the global achievements and disappointments of the previous year. It was a year filled with pandemics that exacerbated massive geopolitical, social, and economic shocks on a worldwide scale, bringing out the worst and best in people. However, the past two years have demonstrated the fragility of global institutions in numerous industries, including medicine, hospitality, travel, and commerce. It also reflects the resilience of the international system with the introduction of various vaccinations and concentrated worldwide efforts against pandemic threats. Conventional and cutting-edge technology approaches are needed to attack COVID-19 and put the situation under control. This paper’s primary purpose is to systematically study trends in technology solutions for smart healthcare systems – for example, artificial intelligence (AI) and big data (BD) analytics, which will help save the world. These AI solutions facilitate innovative administrations, adaptability, productivity, and efficiency by developing related frameworks. Specifically, this study identifies AI and Big Data contributions that should be incorporated into smart healthcare systems. It also studies the application of big data analytics and AI to offer users insights and help them to plan and presents models for intelligent healthcare systems based on AI and big data analytics.
面向智慧城市应用的智能医疗系统趋势
考虑一下从过去一年的全球成就和失望中吸取的最重要的教训。这是流行病肆虐的一年,在全球范围内加剧了大规模的地缘政治、社会和经济冲击,展现了人类最坏的一面和最好的一面。然而,过去两年已经表明,包括医药、酒店、旅游和商业在内的许多行业的全球机构都很脆弱。它还反映了国际体系在采用各种疫苗接种和全球集中努力应对大流行病威胁方面的复原力。应对新冠肺炎疫情,既需要传统手段,也需要前沿技术手段。本文的主要目的是系统地研究智能医疗系统技术解决方案的趋势,例如人工智能(AI)和大数据(BD)分析,这将有助于拯救世界。这些人工智能解决方案通过开发相关框架促进创新管理、适应性、生产力和效率。具体来说,本研究确定了人工智能和大数据的贡献,应该纳入智能医疗系统。它还研究大数据分析和人工智能的应用,为用户提供见解,帮助他们规划和展示基于人工智能和大数据分析的智能医疗系统模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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