Intelligence Methods to Fight Covid-19 Spread
11th International Conference on System Modeling and Advancement in Research Trends, SMART 2022
; : 1335-1340, 2022.
Article
in English
| Scopus | ID: covidwho-2277993
ABSTRACT
According to the COVID-19 worldwide sickness, which has wreaked devastation, over than millions of individuals from all over the globe have been afflicted. The COVID-19 virus infected a significant number of people worldwide as a result of both the latency in detecting its existence in the female organism. A.i. (AI) and Computer Vision (ML) may assist in identifying, treatment, and assessing the severity of COVID-besides all the conventional approaches now present. In order to fully understand the role of AI and ML as a crucial tool for COVID-19 and related outbreak detection, forecasting, forecasts, contacts tracking, and therapy formulation, this study aims to offer a comprehensive review of the topic. AI revolutionises diagnostic accuracy in terms of efficiency and precision. This technology holds promise for a self-driving and visible surveillance system that can enable real - time and treat people avoiding spreading the virus to others. Digital Healthcare different applications have also been discovered. This essay investigates how AI may help fight the COVID-19 pandemic. We make an effort to provide an AI-based hospital design. Ai systems (AI) is used in the infrastructure to effectively and quickly carry out health care, assessment, and treatment. © 2022 IEEE.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
11th International Conference on System Modeling and Advancement in Research Trends, SMART 2022
Year:
2022
Document Type:
Article
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