Journal of Microscopy and Ultrastructure

REVIEW ARTICLE
Year
: 2020  |  Volume : 8  |  Issue : 4  |  Page : 146--147

Artificial intelligence in COVID-19 ultrastructure


Mohamed Y Elwazir1, Somaya Hosny2 
1 Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA; Department of Cardiology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
2 Department of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt

Correspondence Address:
Dr. Mohamed Y Elwazir
Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA

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.


How to cite this article:
Elwazir MY, Hosny S. Artificial intelligence in COVID-19 ultrastructure.J Microsc Ultrastruct 2020;8:146-147


How to cite this URL:
Elwazir MY, Hosny S. Artificial intelligence in COVID-19 ultrastructure. J Microsc Ultrastruct [serial online] 2020 [cited 2021 Jan 25 ];8:146-147
Available from: https://www.jmau.org/article.asp?issn=2213-879X;year=2020;volume=8;issue=4;spage=146;epage=147;aulast=Elwazir;type=0