Artificial Intelligence in the Fight Against Covid-19 (Coronavirus)
6th International Conference on Image Information Processing, ICIIP 2021
; 2021-November:293-297, 2021.
Article
in English
| Scopus | ID: covidwho-1741200
ABSTRACT
Advanced healthcare technologies, including artificial intelligence (AI), the Internet of Things (IoT), big data, and deep learning, are required to counter and even prepare for new illnesses. As a result, we are examining IA's capacity to control and manage COVID-19 (Coronavirus) and other emerging pandemics. Using COVID-19 or Coronavirus and Artificial Intelligence or AI keywords, the material may be quickly found in the PubMed database. COVID-19 AI's existing understanding was analyzed to see how it may be used to increase COVID-19 AI's overall usefulness. Seven COVID-19 pandemic-related AI applications have been documented. The technology has the potential to locate the infection, track it through the system, and make forecasts about when the virus will infiltrate the whole system again. Decision-making tools are desperately needed to help combat this outbreak and allow healthcare institutions to gather enough information in real time to halt its spread. The primary objective of AI is to mimic human thinking using an expert methodology. COVID-19 vaccination production may also play a critical part in making sense of and advocating a similar project. This kind of technology is helpful in screening because of its emphasis on discoveries. © 2021 IEEE.
AI Applications; Artificial Intelligence (AI); Coronavirus Pandemic; COVID 19; Decision making; Deep learning; Health care; Internet of things; Artificial intelligence; Artificial intelligence application; Coronaviruses; Decision making tool; Healthcare institutions; Healthcare technology; Primary objective; Real- time; Coronavirus
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
6th International Conference on Image Information Processing, ICIIP 2021
Year:
2021
Document Type:
Article
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