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.
References
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Ben-Israel, D., Jacobs, W.B., Casha, S., Lang, S., Ryu, W.H.A., Lotbiniere-Bassett, M. and Cadotte, D.W. (2019) The Impact of Machine Learning on Patient Care: A Systematic Review. Artificial Intelligence in Medicine, 103, Article ID: 101785.
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Tiwari, U.K. and Khan, R. (2020) Role of Machine Learning to Predict the Outbreak of Covid-19 in India. Journal of Xi’an University of Architecture & Technology, 12, 2663-2669.
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Zoabi, Y. and Shomron, N. (2020) COVID-19 Diagnosis Prediction by Symptoms of Tested Individuals: A Machine Learning Approach.
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Yu, Y., et al. (2020) COVID-19 Asymptomatic Infection Estimation.
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Abdollahia, A. and Rahbaralamb, M. (2020) Effect of Temperature on the Transmission of COVID-19: A Machine Learning Case Study in Spain.
[18]
Batista, A.F.M., Miraglia, J.L., Donato, T.H.R. and Chiavegatto Filho, A.D.P. (2020) COVID-19 Diagnosis Prediction in Emergency Care Patients: A Machine Learning Approach.
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Tulia, S., et al. (2020) Predicting the Growth and Trend of COVID-19 Pandemic Using Machine Learning and Cloud Computing. Internet of Things, 11, Article ID: 100222. https://doi.org/10.1101/2020.05.06.20091900
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Roy, N.A., et al. (2020) Prediction and Spread Visualization of COVID-19 Pandemic Using Machine Learning.
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Ong, E., et al. (2020) COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning.
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Nemati, M., et al. (2020) COVID-19 Machine Learning Based Survival Analysis and Discharge Time Likelihood Prediction Using Clinical Data.
