Background Until now, there are still a limited number of resources available to predict and diagnose COVID-19 disease. The design of novel drug-drug interaction for COVID-19 patients is an open area of research. Also, the development of the COVID-19 rapid testing kits is still a challenging task. Methodology This review focuses on two prime challenges caused by urgent needs to effectively address the challenges of the COVID-19 pandemic, i.e., the development of COVID-19 classification tools and drug discovery models for COVID-19 infected patients with the help of artificial intelligence (AI) based techniques such as machine learning and deep learning models. Results In this paper, various AI-based techniques are studied and evaluated by the means of applying these techniques for the prediction and diagnosis of COVID-19 disease. This study provides recommendations for future research and facilitates knowledge collection and formation on the application of the AI techniques for dealing with the COVID-19 epidemic and its consequences. Conclusions The AI techniques can be an effective tool to tackle the epidemic caused by COVID-19. These may be utilized in four main fields such as prediction, diagnosis, drug design, and analyzing social implications for COVID-19 infected patients.

中文翻译：

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人工智能技术在COVID-19中的应用研究现状概述

背景 到目前为止，可用于预测和诊断 COVID-19 疾病的资源仍然有限。针对 COVID-19 患者的新型药物相互作用的设计是一个开放的研究领域。此外，COVID-19快速检测试剂盒的开发仍然是一项具有挑战性的任务。方法本次综述重点关注有效应对 COVID-19 大流行挑战的迫切需要所带来的两个主要挑战，即借助人工智能为 COVID-19 感染患者开发 COVID-19 分类工具和药物发现模型基于人工智能（AI）的技术，例如机器学习和深度学习模型。结果本文对各种基于人工智能的技术进行了研究和评估，希望将这些技术应用于 COVID-19 疾病的预测和诊断。这项研究为未来的研究提供了建议，并促进了应用人工智能技术应对 COVID-19 流行病及其后果的知识收集和形成。结论 AI 技术可以成为应对 COVID-19 流行病的有效工具。这些可用于四个主要领域，例如预测、诊断、药物设计和分析对 COVID-19 感染患者的社会影响。