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
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