An Overview of the Artificial Intelligence Applications in Identifying and Combating the Covid-19 Pandemic

In late 2019, people around the world became infected with Covid-19 by the outbreak, the pandemy and epidemy of this disease. To this end, researchers in various fields are seeking to find solutions to the problems related to the control and management of crises. The transmission power of the new corona virus has drawn the attention of experts in the use of artificial intelligence to identify and combat this epidemic. In addition to data analysis, artificial intelligence refers to software that can have decision-making power.

This review article has been performed by searching artificial intelligence, epidemic, Covid-19 keywords, in pubmed, SID, scopus, sciensce direct internet databases as well as google scholar search engine. 11 articles were selected from 37 articles for review after the application of inclusion and exclusion criteria.

The studies mentioned about the describtion of artificial intelligence and its application in medicine, corona virus and its symptoms and mode of transmission, the benefits of using artificial intelligence in the corona pandemic crisis and aid in rapid diagnosis, monitoring of treatment, epidemiology and tracing of infected areas, drug system management, reduction the workload of medical staff, methods of definitive diagnosis of Covid 19 based on artificial intelligence and laboratory programs with emphasis on artificial intelligence. Artificial intelligence can be used in rapid diagnosis, monitoring of people with Covid-19, development of treatment, facilitation of research, prevention, design of drugs and vaccines. Software based on artificial intelligence of the designed intelligent networks use to mimic human thought processes.

Artificial intelligence can recognize patterns beyond defined rules and it can analyze significant amounts of information from what humans can manage. Software based on artificial intelligence provide the possibility that can recognize suspected Covid-19 cases with the least contact of medical staff with the patients. Moreover, it monitored the continuation of the treatment process.