A Study of Impacts of Artificial Intelligence on COVID-19 Prediction, Diagnosis, Treatment, and Prognosis
Loading...
Date
2022-08-19
Journal Title
Journal ISSN
Volume Title
Publisher
Journal, Advances in Mathematical & Computational Sciences
Abstract
Following the identification of Coronavirus Disease 2019 (COVID-19) in Wuhan, China in December
2019, AI researchers have teamed up with a health specialist to combat the virus. This study explores
the medical and non-medical areas of COVID-19 that AI has impacted: the prevalence of the AI
technologies adopted across all stages of the pandemic, the collaboration networks of global AI
researchers, and the open issues. 21,219 papers from ACM Digital, Science Direct and Google Scholar
were examined. Adherence to the guidelines of the Preferred Reporting Items for Systematic Reviews
and Meta-Analyses (PRISMA) framework and utilizing the PICO (population, intervention, comparison,
and outcome) paradigm, guided the inclusion of researches in the review. Tables and graphs were
utilized to display the results. Analysis revealed that AI has impacted 4 molecular, 4 clinical, and 7
societal areas of COVID-19. Deep Learning among other AI technologies was traced to all aspects of
the pandemic. 2173 authors and co-authors were traced to these achievements, while 32 of the most
connected 51 authors were affiliated with institutions in China, 18 to the United States, and 1 to
Europe. The open issues identified had to do with the quality of datasets, AI model deployment, and
privacy issues. This study demonstrates how AI may be utilized for COVID-19 diagnosis, prediction,
medication and vaccine identification, prognosis, and contact person monitoring. This investigation
began at the beginning of the epidemic and continued until the first batch of vaccinations received
approval. The study provided collaboration opportunities for AI researchers and revealed open issues
that will spike further research toward preparing the world for any future pandemic
Description
Keywords
Citation
Isiaka, R.M., Babatunde, R.S. , Ajao, J.F., Yusuff, S.R., Popoola, D.D., Arowolo, M.O. & Adewole, K.S, 2022