421983Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, Bangladesh.
421965Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Gopalganj, Dhaka, Bangladesh.
Int J Health Serv. 2021 Oct;51(4):446-461. doi: 10.1177/00207314211017469. Epub 2021 May 17.
The novel coronavirus disease (COVID-19) has spread over 219 countries of the globe as a pandemic, creating alarming impacts on health care, socioeconomic environments, and international relationships. The principal objective of the study is to provide the current technological aspects of artificial intelligence (AI) and other relevant technologies and their implications for confronting COVID-19 and preventing the pandemic's dreadful effects. This article presents AI approaches that have significant contributions in the fields of health care, then highlights and categorizes their applications in confronting COVID-19, such as detection and diagnosis, data analysis and treatment procedures, research and drug development, social control and services, and the prediction of outbreaks. The study addresses the link between the technologies and the epidemics as well as the potential impacts of technology in health care with the introduction of machine learning and natural language processing tools. It is expected that this comprehensive study will support researchers in modeling health care systems and drive further studies in advanced technologies. Finally, we propose future directions in research and conclude that persuasive AI strategies, probabilistic models, and supervised learning are required to tackle future pandemic challenges.
新型冠状病毒病（COVID-19）已在全球 219 个国家蔓延，成为一场大流行病，对医疗保健、社会经济环境和国际关系造成了惊人的影响。本研究的主要目的是提供人工智能（AI）和其他相关技术的当前技术方面及其在应对 COVID-19 和预防大流行的可怕影响方面的应用。本文介绍了 AI 在医疗保健领域的重要贡献，然后重点介绍并分类了其在应对 COVID-19 方面的应用，例如检测和诊断、数据分析和治疗程序、研究和药物开发、社会控制和服务以及疫情预测。该研究探讨了技术与流行病之间的联系以及医疗保健中技术的潜在影响，引入了机器学习和自然语言处理工具。预计这项全面的研究将支持研究人员对医疗保健系统进行建模，并推动对先进技术的进一步研究。最后，我们提出了未来的研究方向，并得出结论，需要有说服力的 AI 策略、概率模型和监督学习来应对未来的大流行挑战。
