Abstract
The COVID-19 pandemic has taken the world by storm, placing healthcare systems around the globe under immense pressure. The exceptional circumstance has made the scientific community turn to artificial intelligence (AI), with hopes that AI techniques can be used in all aspects of combating the pandemic, whether it is in using AI to uncover sequences in the genomic code of the severe acute respiratory syndrome coronavirus (SARS-CoV-2) virus for the purposes of developing therapeutics, such as antivirals, antibodies, or vaccines, or using AI to provide (near-) instantaneous clinical diagnosis techniques by way of analysis of chest X-ray (CXR) images, computed tomography (CT) scans or other useful modalities, or using AI for as a tool for mass population testing by analyzing patient audio recordings. In this chapter, we survey the AI research literature with respect to applications for COVID-19 and showcase and critique notable state of the art approaches.
| Original language | English |
|---|---|
| Title of host publication | Omics Approaches and Technologies in COVID-19 |
| Publisher | Elsevier |
| Pages | 255-273 |
| Number of pages | 19 |
| ISBN (Electronic) | 9780323917940 |
| ISBN (Print) | 9780323986212 |
| DOIs | |
| State | Published - 1 Jan 2022 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Artificial intelligence
- Audio processing
- COVID-19
- COVID-19 therapeutics
- Clinical diagnosis
- Computed tomography
- Deep learning
- Mass testing
- Neural networks
- X-rays
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