Artificial Intelligence for COVID-19: Rapid Review.

Published in: Journal of medical Internet research (2020)

In view of the continuing increase in the number of cases, and given that multiple waves of infections may occur, there is a need for effective methods to help control the COVID-19 pandemic. Despite its shortcomings, AI holds the potential to greatly augment existing human efforts, which may otherwise be overwhelmed by high patient numbers.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
coronavirus disease
endothelial cells
sars cov
case report
induced pluripotent stem cells
loop mediated isothermal amplification
medical education
risk assessment
climate change