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In the 21 century AI has become an important area of re-search in virtually all
fields. So the delivery of health care requires the support of new technologies such as AI
IOT, Big Data, and Machine Learning to fight forward-looking against new diseases. We
aim to review the role of AI as state-of-the-art diagnostic technology, to prepare us for
the protection and fight against COVID-19 and other epidemics.
A quick review of the literature is done on Scopus, and Google Scholar websites
using the keyword COVID-19 or Coronavirus and Artificial Intelligence or AI. The latest
information on the AI of COVID-19 was collected, and similar analyzes were made to
determine the probable cause of the disease. We have identified seven key AI
applications for the COVID-19 epidemic. These technologies play an important role in
detecting a collection of cases and predicting what the virus will affect in the future by
collecting and analyzing all previous data.
Healthcare organizations have an urgent need for decision-making technology to
catch the virus and help them get the right recommendations in real time to prevent its
spread. AI works at a high level of imitation as human intelligence. It may also play an
important role in understanding and promoting the development of the COVID-19
policy. These results-based technologies are used to accurately assess, analyze, predict
and track current patients and potential future patients. Essential applications are used
in data for certified, restored and death case tracks.
2. Background
2.1 Introducing
In this global health crisis, the medical industry is looking at new technologies to
monitor and control the spread of the COVID-19 (Coronavirus) epidemic. AI is one
such technology that can easily track the spread of the virus, identify high-risk
patients, and is helpful in controlling the disease in real-time. It may also predict
mortality risk by adequately analyzing previous patient data. AI can help us fight the
virus by testing population, medical help, notification, and suggestions about
infection control.