Using artificial intelligence technology to fight COVID-19: a review

被引:0
|
作者
Yong Peng
Enbin Liu
Shanbi Peng
Qikun Chen
Dangjian Li
Dianpeng Lian
机构
[1] Southwest Petroleum University,Petroleum Engineering School
[2] Southwest Petroleum University,School of Civil Engineering and Geomatics
[3] Cardiff University,School of Engineering
来源
关键词
Artificial intelligence; COVID-19; Epidemic prevention and control; Internet of Things; Cloud computing; Blockchain;
D O I
暂无
中图分类号
学科分类号
摘要
In late December 2019, a new type of coronavirus was discovered, which was later named severe acute respiratory syndrome coronavirus 2(SARS-CoV-2). Since its discovery, the virus has spread globally, with 2,975,875 deaths as of 15 April 2021, and has had a huge impact on our health systems and economy. How to suppress the continued spread of new coronary pneumonia is the main task of many scientists and researchers. The introduction of artificial intelligence technology has provided a huge contribution to the suppression of the new coronavirus. This article discusses the main application of artificial intelligence technology in the suppression of coronavirus from three major aspects of identification, prediction, and development through a large amount of literature research, and puts forward the current main challenges and possible development directions. The results show that it is an effective measure to combine artificial intelligence technology with a variety of new technologies to predict and identify COVID-19 patients.
引用
收藏
页码:4941 / 4977
页数:36
相关论文
共 50 条
  • [11] Artificial intelligence technology for diagnosing COVID-19 cases: a review of substantial issues
    Alsharif, M. H.
    Alsharif, Y. H.
    Chaudhry, S. A.
    Albreem, M. A.
    Jahid, A.
    Hwang, E.
    EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES, 2020, 24 (17) : 9226 - 9233
  • [12] The value of artificial intelligence and imaging diagnosis in the fight against COVID-19
    Zhang D.
    Liu X.
    Shao M.
    Sun Y.
    Lian Q.
    Zhang H.
    Personal and Ubiquitous Computing, 2023, 27 (03) : 783 - 792
  • [13] A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19
    Islam, Md. Mohaimenul
    Poly, Tahmina Nasrin
    Alsinglawi, Belal
    Lin, Ming Chin
    Hsu, Min-Huei
    Li, Yu-Chuan
    JOURNAL OF CLINICAL MEDICINE, 2021, 10 (09)
  • [14] COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
    Jawad Rasheed
    Akhtar Jamil
    Alaa Ali Hameed
    Fadi Al-Turjman
    Ahmad Rasheed
    Interdisciplinary Sciences: Computational Life Sciences, 2021, 13 : 153 - 175
  • [15] COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
    Rasheed, Jawad
    Jamil, Akhtar
    Hameed, Alaa Ali
    Al-Turjman, Fadi
    Rasheed, Ahmad
    INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES, 2021, 13 (02) : 153 - 175
  • [16] Digital Technology und Artificial Intelligence Facing COVID-19
    Rhalem, Wajih
    Raji, Mourad
    Aqili, Nabil
    El Mhamdi, Jamal
    Allali, Imane
    Kharmoum, Nassim
    Retal, Sara
    Hammouch, Ahmed
    Laghrissi, Adnane
    Ghazal, Hassan
    ADVANCED INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT (AI2SD'2020), VOL 2, 2022, 1418 : 1229 - 1240
  • [17] Analysis of COVID-19 Pandemic Using Artificial Intelligence
    Amjad, Maaz
    Rodriguez Chavez, Yuriria
    Nayab, Zaryyab
    Zhila, Alisa
    Sidorov, Grigori
    Gelbukh, Alexander
    ADVANCES IN COMPUTATIONAL INTELLIGENCE, MICAI 2020, PT II, 2020, 12469 : 65 - 73
  • [18] The Capacity of Artificial Intelligence in COVID-19 Response: A Review in Context of COVID-19 Screening and Diagnosis
    Ozsahin, Dilber Uzun
    Isa, Nuhu Abdulhaqq
    Uzun, Berna
    DIAGNOSTICS, 2022, 12 (12)
  • [19] Artificial Intelligence Models and Techniques Applied to COVID-19: A Review
    Munoz, Lilia
    Villarreal, Vladimir
    Nielsen, Mel
    Caballero, Yen
    Sitton-Candanedo, Ines
    Corchado, Juan M.
    ELECTRONICS, 2021, 10 (23)
  • [20] Impact of Artificial Intelligence in COVID-19 Pandemic: A Comprehensive Review
    Arshad, Hafiz Ahsan
    Hussain, Mubashar
    Amin, Ahmad
    Arshed, Muhammad Asad
    2022 SECOND INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING AND HIGH PERFORMANCE COMPUTING (DCHPC), 2022, : 66 - 73