TY - JOUR
T1 - A state-of-the-art survey on artificial intelligence to fight COVID-19
AU - Islam, M.M.
AU - Poly, T.N.
AU - Alsinglawi, B.
AU - Lin, M.C.
AU - Hsu, M.-H.
AU - Li, Y.-C.
PY - 2021
Y1 - 2021
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.
UR - https://hdl.handle.net/1959.7/uws:66957
U2 - 10.3390/jcm10091961
DO - 10.3390/jcm10091961
M3 - Article
SN - 2077-0383
VL - 10
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 9
M1 - 1961
ER -