Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Elwazir, Mohamed Y., Hosny, Somaya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
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
_version_ 1783651222178234368
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