Barbieri Davide, Giuliani Enrico, Del Prete Anna, Losi Amanda, Villani Matteo, Barbieri Alberto
Department of Neuroscience and Rehabilitation, University of Ferrara, Via Savonarola 9, 44121 Ferrara, Italy.
Department of Biomedical, Metabolic and Neuroscience Sciences, University of Modena and Reggio Emilia, Via Del Pozzo 71, 41125 Modena, Italy.
Int J Environ Res Public Health. 2021 Jul 19;18(14):7648. doi: 10.3390/ijerph18147648.
The COVID-19 pandemic has worked as a catalyst, pushing governments, private companies, and healthcare facilities to design, develop, and adopt innovative solutions to control it, as is often the case when people are driven by necessity. After 18 months since the first case, it is time to think about the pros and cons of such technologies, including artificial intelligence-which is probably the most complex and misunderstood by non-specialists-in order to get the most out of them, and to suggest future improvements and proper adoption. The aim of this narrative review was to select the relevant papers that directly address the adoption of artificial intelligence and new technologies in the management of pandemics and communicable diseases such as SARS-CoV-2: environmental measures; acquisition and sharing of knowledge in the general population and among clinicians; development and management of drugs and vaccines; remote psychological support of patients; remote monitoring, diagnosis, and follow-up; and maximization and rationalization of human and material resources in the hospital environment.
新冠疫情起到了催化剂的作用，促使政府、私营企业和医疗机构设计、开发并采用创新解决方案来控制疫情，在人们出于必要而采取行动时，情况往往如此。自首例病例出现18个月后，是时候思考此类技术的利弊了，包括人工智能——这可能是最复杂且非专业人士最容易误解的技术——以便充分利用它们，并提出未来的改进措施和正确的应用方法。本叙述性综述的目的是挑选直接涉及在大流行和传染病（如SARS-CoV-2）管理中采用人工智能和新技术的相关论文：环境措施；普通人群及临床医生之间的知识获取与共享；药物和疫苗的研发与管理；患者的远程心理支持；远程监测、诊断和随访；以及医院环境中人力和物力资源的最大化与合理化。
