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Artificial Intelligence in COVID-19 Ultrastructure
Artificial intelligence has found its way into numerous fields of medicine in the past decade, spurred by the availability of big data and powerful processors. For the COVID-19 pandemic, aside from predicting its onset, artificial intelligence has been used to track disease spread, detect pulmonary...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883503/ https://www.ncbi.nlm.nih.gov/pubmed/33623737 http://dx.doi.org/10.4103/JMAU.JMAU_28_20 |
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author | Elwazir, Mohamed Y. Hosny, Somaya |
author_facet | Elwazir, Mohamed Y. Hosny, Somaya |
author_sort | Elwazir, Mohamed Y. |
collection | PubMed |
description | Artificial intelligence has found its way into numerous fields of medicine in the past decade, spurred by the availability of big data and powerful processors. For the COVID-19 pandemic, aside from predicting its onset, artificial intelligence has been used to track disease spread, detect pulmonary involvement in computed tomography scans, risk-stratify patients, and model virtual protein structure and potential therapeutic agents. This mini-review briefly discusses the potential applications of artificial intelligence in COVID-19 microscopy. |
format | Online Article Text |
id | pubmed-7883503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-78835032021-02-22 Artificial Intelligence in COVID-19 Ultrastructure Elwazir, Mohamed Y. Hosny, Somaya J Microsc Ultrastruct Review Article Artificial intelligence has found its way into numerous fields of medicine in the past decade, spurred by the availability of big data and powerful processors. For the COVID-19 pandemic, aside from predicting its onset, artificial intelligence has been used to track disease spread, detect pulmonary involvement in computed tomography scans, risk-stratify patients, and model virtual protein structure and potential therapeutic agents. This mini-review briefly discusses the potential applications of artificial intelligence in COVID-19 microscopy. Wolters Kluwer - Medknow 2020-12-10 /pmc/articles/PMC7883503/ /pubmed/33623737 http://dx.doi.org/10.4103/JMAU.JMAU_28_20 Text en Copyright: © 2020 Journal of Microscopy and Ultrastructure http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Review Article Elwazir, Mohamed Y. Hosny, Somaya Artificial Intelligence in COVID-19 Ultrastructure |
title | Artificial Intelligence in COVID-19 Ultrastructure |
title_full | Artificial Intelligence in COVID-19 Ultrastructure |
title_fullStr | Artificial Intelligence in COVID-19 Ultrastructure |
title_full_unstemmed | Artificial Intelligence in COVID-19 Ultrastructure |
title_short | Artificial Intelligence in COVID-19 Ultrastructure |
title_sort | artificial intelligence in covid-19 ultrastructure |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883503/ https://www.ncbi.nlm.nih.gov/pubmed/33623737 http://dx.doi.org/10.4103/JMAU.JMAU_28_20 |
work_keys_str_mv | AT elwazirmohamedy artificialintelligenceincovid19ultrastructure AT hosnysomaya artificialintelligenceincovid19ultrastructure |