Abstract
Artificial intelligence (AI) is playing several roles in healthcare responses to COVID-19. AI has helped map pandemic spread, forecast effects of different public health strategies, and trace contacts of confirmed cases. AI can facilitate earlier diagnosis by helping design rapid virus detection assays and analyse medical imaging data from suspected cases. It may identify patients at risk of clinical deterioration and poor outcomes, and pinpoint existing drugs for repurposing to treat the disease, propose new compounds for development, and suggest immunogenic viral proteins as targets for vaccines. Further research will likely accelerate emergence of effective AI-mediated responses to COVID-19.
| Original language | English |
|---|---|
| Pages (from-to) | 439-441.e2 |
| Number of pages | 5 |
| Journal | Medical Journal of Australia |
| Volume | 213 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - Nov 2020 |
Keywords
- Computing methodologies
- COVID-19
- Infectious diseases
- Models, statistical
- Respiratory tract infections