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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...

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Detalles Bibliográficos
Autores principales: Ashwin, M, Alqahtani, Abdulrahman Saad, Mubarakali, Azath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
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.
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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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