Re-Imagining Machine Learning in Dental Research: A Lesson Learned from the COVID-19 Pandemic

Authors

Jafar Kolahi, Dental Hypotheses
Mohammad Seyedhamzeh
David G. Dunning, University of Nebraska Medical CenterFollow
Nader Kalbasi, Islamic Azad University

Document Type

Article

Journal Title

Dental Hypotheses

Publication Date

2021

Volume

12(1)

Abstract

At this time, humankind is experiencing on a global scale a frightening infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of September 25, 2020, more than 32.3 million cases have been reported in 188 countries, resulting in more than 984,000 official reported deaths.^[1],[2] During the course of human history, there have been several pandemics, for example, plague and smallpox. However, one of the main differences between COVID-19 and previous pandemics is the availability of computer-based technologies. Paralleling the global growth of COVID-19, studies using computer-based technologies have emerged (e.g., machine learning) to fight against SARS-CoV-2.

DOI Link

10.4103/denthyp.denthyp_169_20

ISSN

21558213

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

Recommended Citation

Kolahi, Jafar; Seyedhamzeh, Mohammad; Dunning, David G.; and Kalbasi, Nader, "Re-Imagining Machine Learning in Dental Research: A Lesson Learned from the COVID-19 Pandemic" (2021). Journal Articles: College of Dentistry. 35.
https://digitalcommons.unmc.edu/cod_articles/35