TY - JOUR
T1 - A state-of-the-art survey on artificial intelligence to fight covid-19
AU - Islam, Md Mohaimenul
AU - Poly, Tahmina Nasrin
AU - Alsinglawi, Belal
AU - Lin, Ming Chin
AU - Hsu, Min Huei
AU - Li, Yu Chuan
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/5/1
Y1 - 2021/5/1
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Coronavirus
KW - COVID-19
KW - Deep learning
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85114067521&partnerID=8YFLogxK
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U2 - 10.3390/jcm10091961
DO - 10.3390/jcm10091961
M3 - Review article
AN - SCOPUS:85114067521
SN - 2077-0383
VL - 10
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 9
M1 - 1961
ER -