Abstract
Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Unfortunately, its treatment is yet to be developed. Nevertheless, this phenomenon can be decelerated by diagnosing and quarantining patients with COVID-19 at early stages, thereby saving numerous lives. In this study, the early diagnosis of this disease through artificial intelligence (AI) technology is explored. AI is a revolutionizing technology that drives new research opportunities in various fields. Although this study does not provide a final solution, it highlights the most promising lines of research on AI technology for the diagnosis of COVID-19. The major contribution of this work is a discussion on the following substantial issues of AI technology for preventing the severe effects of COVID-19: (1) rapid diagnosis and detection, (2) outbreak and prediction of virus spread, and (3) potential treatments. This study profoundly investigates these controversial research topics to achieve a precise, concrete, and concise conclusion. Thus, this study provides significant recommendations on future research directions related to COVID-19.
| Original language | English |
|---|---|
| Pages (from-to) | 9226-9233 |
| Number of pages | 8 |
| Journal | European Review for Medical and Pharmacological Sciences |
| Volume | 24 |
| Issue number | 17 |
| DOIs | |
| Publication status | Published - 2020 |
Bibliographical note
Funding Information:This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (HG19C0682).
Publisher Copyright:
© 2020 Verduci Editore s.r.l. All rights reserved.
Keywords
- AI
- Artificial intelligence
- Big data
- COVID-19
- Coronavirus pandemic
- Machine learning
ASJC Scopus subject areas
- Pharmacology (medical)