A state-of-the-art survey on artificial intelligence to fight covid-19

Md Mohaimenul Islam, Tahmina Nasrin Poly, Belal Alsinglawi, Ming Chin Lin, Min Huei Hsu, Yu Chuan Li

研究成果: 雜誌貢獻回顧型文獻同行評審

13 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
文章編號1961
期刊Journal of Clinical Medicine
10
發行號9
DOIs
出版狀態已發佈 - 5月 1 2021

ASJC Scopus subject areas

  • 一般醫學

指紋

深入研究「A state-of-the-art survey on artificial intelligence to fight covid-19」主題。共同形成了獨特的指紋。

引用此