AI Article Synopsis
- SARS-CoV-2 has infected over 278 million people and led to 5.3 million deaths as of December 27, 2021.
- Various detection, diagnosis, and surveillance methods—including medical and artificial intelligence—have been implemented since the COVID-19 outbreak.
- The article reviews different COVID-19 detection methods and technologies, which may benefit researchers and health policymakers in their efforts to combat the virus.
Article Abstract
As of 27 December 2021, SARS-CoV-2 has infected over 278 million persons and caused 5.3 million deaths. Since the outbreak of COVID-19, different methods, from medical to artificial intelligence, have been used for its detection, diagnosis, and surveillance. Meanwhile, fast and efficient point-of-care (POC) testing and self-testing kits have become necessary in the fight against COVID-19 and to assist healthcare personnel and governments curb the spread of the virus. This paper presents a review of the various types of COVID-19 detection methods, diagnostic technologies, and surveillance approaches that have been used or proposed. The review provided in this article should be beneficial to researchers in this field and health policymakers at large.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024895 | PMC |
| http://dx.doi.org/10.3390/bioengineering9040153 | DOI Listing |
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