A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19

Field	Value	Language
dc.contributor.author	Islam, Mohaimenul	en
dc.contributor.author	Poly, Tahmina Nasrin	en
dc.contributor.author	Alsinglawi, Belal	en
dc.contributor.author	Lin, Ming Chin	en
dc.contributor.author	Hsu, Min-Huei	en
dc.contributor.author	Li, Yu-Chuan	en
dc.date.accessioned	2021-07-06T23:34:21Z
dc.date.available	2021-07-06T23:34:21Z
dc.date.issued	2021
dc.identifier.uri	https://hdl.handle.net/2123/25598
dc.description.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.	en
dc.language.iso	en	en
dc.rights	Other
dc.subject	COVID-19	en
dc.subject	Coronavirus	en
dc.title	A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19	en
dc.type	Article	en
dc.identifier.doi	10.3390/jcm10091961
usyd.faculty	Faculty of Engineering	en

Associated file/s

There are no files associated with this item.