Islam Md Mohaimenul, Poly Tahmina Nasrin, Alsinglawi Belal, Lin Ming Chin, Hsu Min-Huei, Li Yu-Chuan Jack
Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110301, Taiwan.
International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei 110301, Taiwan.
J Clin Med. 2021 May 2;10(9):1961. doi: 10.3390/jcm10091961.
Artificial intelligence (AI) has shown immense potential to fight COVID-19 in many ways. This paper focuses primarily on AI's role in managing COVID-19 using digital images, clinical and laboratory data analysis, and a summary of the most recent articles published last year. We surveyed the use of AI for COVID-19 detection, screening, diagnosis, the progression of severity, mortality, drug repurposing, and other tasks. We started with the technical overview of all models used to fight the COVID-19 pandemic and ended with a brief statement of the current state-of-the-art, limitations, and challenges.
人工智能（AI）在许多方面已展现出抗击新冠疫情的巨大潜力。本文主要聚焦于人工智能在利用数字图像、临床和实验室数据分析管理新冠疫情方面的作用，以及对去年发表的最新文章的总结。我们调查了人工智能在新冠疫情检测、筛查、诊断、严重程度进展、死亡率、药物重新利用及其他任务中的应用。我们首先对用于抗击新冠疫情大流行的所有模型进行技术概述，最后简要阐述当前的技术水平、局限性和挑战。
