Abstract
Artificial Intelligence (AI), which has become widely accepted in the medical field over the years, have proven to be valuable in dealing with sicknesses of varying degrees. Following the spread of COVID-19, so many researches have been developed suggesting ways and models to combat the virus by exploring possible diagnosis, treatment, prevention and cure using AI. This research conducted a systematic literature review to unravel the applications of Artificial Intelligence (AI) to tackle the COVID-19 pandemic. Our data comprised of research papers on COVID-19 and AI or deep learning or machine learning, which are subsets of AI. We did not include review papers, as our research is an improvement on previous reviews on COVID-19 and AI. From our research, six papers examined the early detection and diagnosis of the infection, eight examined forecasting of the spread of the infection, one examined the development of drugs and vaccines and one examined the monitoring of patient treatment. All the researches showed the great potential of harnessing AI in combating the COVID-19 pandemic, when improved on.
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