Author: Islam, Md. Mohaimenul; Poly, Tahmina Nasrin; Alsinglawi, Belal; Lin, Ming Chin; Hsu, Min-Huei; Li, Yu-Chuan (Jack)
Title: A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19 Cord-id: 3yax377i Document date: 2021_5_2
ID: 3yax377i
Snippet: 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 COVI
Document: 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.
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