Artificial Intelligence in COVID-19 Ultrastructure

Mohamed Y Elwazir; Somaya Hosny

doi:10.4103/JMAU.JMAU_28_20

Artificial Intelligence in COVID-19 Ultrastructure

J Microsc Ultrastruct. 2020 Dec 10;8(4):146-147. doi: 10.4103/JMAU.JMAU_28_20. eCollection 2020 Oct-Dec.

Authors

Mohamed Y Elwazir^{1

2}, Somaya Hosny³

Affiliations

¹ Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
² Department of Cardiology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
³ Department of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.

Abstract

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.

Keywords: Artificial intelligence; COVID-19; computer vision; machine learning.

Publication types

Review