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Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19
Recently, COVID-19 virus spread to create a major impact in human body worldwide. The Corona virus, initiated by the SARS-CoV-2 virus, was known in China, December 2019 and affirmed a worldwide epidemic by the World Health Organization on 11 March 2020. The core aim of this research is to detect the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008045/ https://www.ncbi.nlm.nih.gov/pubmed/37016684 http://dx.doi.org/10.1016/j.micpro.2023.104819 |
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author | Ashwin, M Alqahtani, Abdulrahman Saad Mubarakali, Azath |
author_facet | Ashwin, M Alqahtani, Abdulrahman Saad Mubarakali, Azath |
author_sort | Ashwin, M |
collection | PubMed |
description | Recently, COVID-19 virus spread to create a major impact in human body worldwide. The Corona virus, initiated by the SARS-CoV-2 virus, was known in China, December 2019 and affirmed a worldwide epidemic by the World Health Organization on 11 March 2020. The core aim of this research is to detect the spreading of COVID-19 virus and solve the problems in human lungs infection quickly. An Artificial Intelligence (AI) technique is a possibly controlling device in the battle against the corona virus epidemic. Recently, AI with computational techniques are utilized for COVID-19 virus with the building blocks of Deep Learning method using Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN) is used to classify and identify the lung images affected region. These two algorithms used to diagnose COVID-19 infections rapidly. The AI applications against COVID-19 are Medical Imaging for Diagnosis, Lung delineation, Lesion measurement, Non-Invasive Measurements for Disease Tracking, Patient Outcome Prediction, Molecular Scale: from Proteins to Drug Development and Societal Scale: Epidemiology and Infodemiology. |
format | Online Article Text |
id | pubmed-10008045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100080452023-03-13 Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19 Ashwin, M Alqahtani, Abdulrahman Saad Mubarakali, Azath Microprocess Microsyst Article Recently, COVID-19 virus spread to create a major impact in human body worldwide. The Corona virus, initiated by the SARS-CoV-2 virus, was known in China, December 2019 and affirmed a worldwide epidemic by the World Health Organization on 11 March 2020. The core aim of this research is to detect the spreading of COVID-19 virus and solve the problems in human lungs infection quickly. An Artificial Intelligence (AI) technique is a possibly controlling device in the battle against the corona virus epidemic. Recently, AI with computational techniques are utilized for COVID-19 virus with the building blocks of Deep Learning method using Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN) is used to classify and identify the lung images affected region. These two algorithms used to diagnose COVID-19 infections rapidly. The AI applications against COVID-19 are Medical Imaging for Diagnosis, Lung delineation, Lesion measurement, Non-Invasive Measurements for Disease Tracking, Patient Outcome Prediction, Molecular Scale: from Proteins to Drug Development and Societal Scale: Epidemiology and Infodemiology. Elsevier B.V. 2023-04 2023-03-11 /pmc/articles/PMC10008045/ /pubmed/37016684 http://dx.doi.org/10.1016/j.micpro.2023.104819 Text en © 2023 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ashwin, M Alqahtani, Abdulrahman Saad Mubarakali, Azath Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19 |
title | Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19 |
title_full | Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19 |
title_fullStr | Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19 |
title_full_unstemmed | Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19 |
title_short | Smart Artificial Intelligence techniques using embedded band for diagnosis and combating COVID-19 |
title_sort | smart artificial intelligence techniques using embedded band for diagnosis and combating covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008045/ https://www.ncbi.nlm.nih.gov/pubmed/37016684 http://dx.doi.org/10.1016/j.micpro.2023.104819 |
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