Faculty of Business and Economics, University of Johannesburg, Johannesburg 2006, South Africa.
Int J Environ Res Public Health. 2022 Feb 8;19(3):1879. doi: 10.3390/ijerph19031879.
The COVID-19 pandemic came with disruptions in every aspect of human existence, with all the sectors of the economies of the world affected greatly. In the health sector, the pandemic halted and reversed progress in health and subsequently shortened life expectancy, especially in developing and underdeveloped nations. On the other hand, machine learning and artificial intelligence contributed a great deal to the handling of the pandemic globally. Therefore, the current study aimed to assess the role played by artificial intelligence and machine learning in addressing the dangers posed by the COVID-19 pandemic, as well as extrapolate the lessons on the fourth industrial revolution and sustainable development goals. Using qualitative content analysis, the results indicated that artificial intelligence and machine learning played an important role in the response to the challenges posed by the COVID-19 pandemic. Artificial intelligence, machine learning, and various digital communication tools through telehealth performed meaningful roles in scaling customer communications, provided a platform for understanding how COVID-19 spreads, and sped up research and treatment of COVID-19, among other notable achievements. The lessons we draw from this is that, despite the disruptions and the rise in the number of unintended consequences of technology in the fourth industrial revolution, the role played by artificial intelligence and machine learning motivates us to conclude that governments must build trust in these technologies, to address health problems going forward, to ensure that the sustainable development goals related to good health and wellbeing are achieved.
新冠疫情大流行扰乱了人类存在的各个方面,世界各国的经济各部门都受到了严重影响。在卫生部门,疫情使卫生方面的进展停滞不前,甚至出现倒退,从而缩短了预期寿命,特别是在发展中和欠发达国家。另一方面,机器学习和人工智能在全球范围内应对疫情方面发挥了重要作用。因此,本研究旨在评估人工智能和机器学习在应对新冠疫情带来的危险方面所发挥的作用,并吸取有关第四次工业革命和可持续发展目标的经验教训。本研究采用定性内容分析法,结果表明,人工智能和机器学习在应对新冠疫情带来的挑战方面发挥了重要作用。人工智能、机器学习以及通过远程医疗实现的各种数字通信工具在扩大客户沟通方面发挥了重要作用,为了解新冠病毒如何传播提供了平台,并加快了对新冠病毒的研究和治疗,以及其他值得注意的成就。我们从中得出的结论是,尽管第四次工业革命带来了干扰和技术意外后果的增加,但人工智能和机器学习所发挥的作用促使我们得出结论,即政府必须建立对这些技术的信任,以解决未来的卫生问题,确保与良好健康和福祉相关的可持续发展目标得以实现。