@Article{cmc.2020.011391,
AUTHOR = {Peipeng Yu, Zhihua Xia, Jianwei Fei, Sunil Kumar Jha},
TITLE = {An Application Review of Artificial Intelligence in Prevention and Cure of COVID-19 Pandemic},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {1},
PAGES = {743--760},
URL = {http://www.techscience.com/cmc/v65n1/39592},
ISSN = {1546-2226},
ABSTRACT = {Coronaviruses are a well-known family of viruses that can infect humans or
animals. Recently, the new coronavirus (COVID-19) has spread worldwide. All countries
in the world are working hard to control the coronavirus disease. However, many countries
are faced with a lack of medical equipment and an insufficient number of medical
personnel because of the limitations of the medical system, which leads to the mass spread
of diseases. As a powerful tool, artificial intelligence (AI) has been successfully applied to
solve various complex problems ranging from big data analysis to computer vision. In the
process of epidemic control, many algorithms are proposed to solve problems in various
fields of medical treatment, which is able to reduce the workload of the medical system.
Due to excellent learning ability, AI has played an important role in drug development,
epidemic forecast, and clinical diagnosis. This research provides a comprehensive overview
of relevant research on AI during the outbreak and helps to develop new and more powerful
methods to deal with the current pandemic.},
DOI = {10.32604/cmc.2020.011391}
}