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.
【저자키워드】 COVID-19, artificial intelligence, Diagnosis, Disease prediction, 【초록키워드】 Drug discovery, deep learning, drug design, knowledge, COVID-19 pandemic, COVID-19 disease, Consequences, Research, resource, disease, predict, diagnose, drug-drug interaction, COVID-19 epidemic, COVID-19 patient, help, COVID-19 infected patients, recommendation, implication, effective, the epidemic, Result, caused, evaluated, facilitate, provide, the mean, COVID-19 infected patient, diagnosis of COVID-19, 【제목키워드】 Research,