We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19.
- Authors
Islam, Md. Mohaimenul; Poly, Tahmina Nasrin; Alsinglawi, Belal; Lin, Ming Chin; Hsu, Min-Huei; Li, Yu-Chuan; Racanelli, Vito
- Abstract
Artificial intelligence (AI) has shown immense potential to fight COVID-19 in many ways. This paper focuses primarily on AI's role in managing COVID-19 using digital images, clinical and laboratory data analysis, and a summary of the most recent articles published last year. We surveyed the use of AI for COVID-19 detection, screening, diagnosis, the progression of severity, mortality, drug repurposing, and other tasks. We started with the technical overview of all models used to fight the COVID-19 pandemic and ended with a brief statement of the current state-of-the-art, limitations, and challenges.
- Subjects
COVID-19; ARTIFICIAL intelligence; COVID-19 pandemic; DIAGNOSIS; DEEP learning
- Publication
Journal of Clinical Medicine, 2021, Vol 10, Issue 9, p1961
- ISSN
2077-0383
- Publication type
Article
- DOI
10.3390/jcm10091961