Hussain Adedoyin Ahmed, Bouachir Ouns, Al-Turjman Fadi, Aloqaily Moayad
Department of Computer EngineeringNear East University 99138 Nicosia Mersin 10 Turkey.
Research Centre for AI and IoTDepartment of Artificial Intelligence EngineeringNear East University 99138 Nicosia Mersin 10 Turkey.
IEEE Access. 2020 Jul 8;8:128776-128795. doi: 10.1109/ACCESS.2020.3007939. eCollection 2020.
Artificial Intelligence (AI) intent is to facilitate human limits. It is getting a standpoint on human administrations, filled by the growing availability of restorative clinical data and quick progression of insightful strategies. Motivated by the need to highlight the need for employing AI in battling the COVID-19 Crisis, this survey summarizes the current state of AI applications in clinical administrations while battling COVID-19. Furthermore, we highlight the application of Big Data while understanding this virus. We also overview various intelligence techniques and methods that can be applied to various types of medical information-based pandemic. We classify the existing AI techniques in clinical data analysis, including neural systems, classical SVM, and edge significant learning. Also, an emphasis has been made on regions that utilize AI-oriented cloud computing in combating various similar viruses to COVID-19. This survey study is an attempt to benefit medical practitioners and medical researchers in overpowering their faced difficulties while handling COVID-19 big data. The investigated techniques put forth advances in medical data analysis with an exactness of up to 90%. We further end up with a detailed discussion about how AI implementation can be a huge advantage in combating various similar viruses.
人工智能(AI)的目的是突破人类的局限。它正从医疗临床数据日益丰富的可用性和智能策略的快速发展中获得对医疗服务的新视角。出于强调在抗击新冠疫情中应用人工智能必要性的动机,本综述总结了在抗击新冠疫情期间人工智能在临床服务中的应用现状。此外,我们在了解这种病毒的同时突出了大数据的应用。我们还概述了可应用于各类基于医疗信息的大流行的各种智能技术和方法。我们对临床数据分析中现有的人工智能技术进行了分类,包括神经网络、经典支持向量机和边缘显著性学习。此外,还重点介绍了在抗击与新冠病毒类似的各种病毒时利用面向人工智能的云计算的领域。这项综述研究旨在帮助医学从业者和医学研究人员在处理新冠疫情大数据时克服所面临的困难。所研究的技术在医学数据分析方面取得了进展,准确率高达90%。我们最后详细讨论了人工智能的实施在抗击各种类似病毒方面如何能带来巨大优势。