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Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19
The clinical management of COVID-19 is challenging. Medical imaging plays a critical role in the early detection, clinical monitoring and outcomes assessment of this disease. Chest x-ray radiography and computed tomography) are the standard imaging modalities used for the structural assessment of th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320858/ https://www.ncbi.nlm.nih.gov/pubmed/32703538 http://dx.doi.org/10.1067/j.cpradiol.2020.06.009 |
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author | Shaikh, Faiq Andersen, Michael Brun Sohail, M. Rizwan Mulero, Francisca Awan, Omer Dupont-Roettger, Diana Kubassova, Olga Dehmeshki, Jamshid Bisdas, Sotirios |
author_facet | Shaikh, Faiq Andersen, Michael Brun Sohail, M. Rizwan Mulero, Francisca Awan, Omer Dupont-Roettger, Diana Kubassova, Olga Dehmeshki, Jamshid Bisdas, Sotirios |
author_sort | Shaikh, Faiq |
collection | PubMed |
description | The clinical management of COVID-19 is challenging. Medical imaging plays a critical role in the early detection, clinical monitoring and outcomes assessment of this disease. Chest x-ray radiography and computed tomography) are the standard imaging modalities used for the structural assessment of the disease status, while functional imaging (namely, positron emission tomography) has had limited application. Artificial intelligence can enhance the predictive power and utilization of these imaging approaches and new approaches focusing on detection, stratification and prognostication are showing encouraging results. We review the current landscape of these imaging modalities and artificial intelligence approaches as applied in COVID-19 management. |
format | Online Article Text |
id | pubmed-7320858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73208582020-06-29 Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19 Shaikh, Faiq Andersen, Michael Brun Sohail, M. Rizwan Mulero, Francisca Awan, Omer Dupont-Roettger, Diana Kubassova, Olga Dehmeshki, Jamshid Bisdas, Sotirios Curr Probl Diagn Radiol Article The clinical management of COVID-19 is challenging. Medical imaging plays a critical role in the early detection, clinical monitoring and outcomes assessment of this disease. Chest x-ray radiography and computed tomography) are the standard imaging modalities used for the structural assessment of the disease status, while functional imaging (namely, positron emission tomography) has had limited application. Artificial intelligence can enhance the predictive power and utilization of these imaging approaches and new approaches focusing on detection, stratification and prognostication are showing encouraging results. We review the current landscape of these imaging modalities and artificial intelligence approaches as applied in COVID-19 management. Elsevier Inc. 2021 2020-06-27 /pmc/articles/PMC7320858/ /pubmed/32703538 http://dx.doi.org/10.1067/j.cpradiol.2020.06.009 Text en © 2020 Elsevier Inc. 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 Shaikh, Faiq Andersen, Michael Brun Sohail, M. Rizwan Mulero, Francisca Awan, Omer Dupont-Roettger, Diana Kubassova, Olga Dehmeshki, Jamshid Bisdas, Sotirios Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19 |
title | Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19 |
title_full | Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19 |
title_fullStr | Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19 |
title_full_unstemmed | Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19 |
title_short | Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19 |
title_sort | current landscape of imaging and the potential role for artificial intelligence in the management of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320858/ https://www.ncbi.nlm.nih.gov/pubmed/32703538 http://dx.doi.org/10.1067/j.cpradiol.2020.06.009 |
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