Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment

被引:10
|
作者
Surianarayanan, Chellammal [1 ]
Chelliah, Pethuru Raj [2 ]
机构
[1] Bharathidasan Univ, Govt Arts & Sci Coll, Tiruchirappalli, Tamil Nadu, India
[2] Reliance Jio Platforms Ltd, Site Reliabil Engn Div, Bangalore, Karnataka, India
关键词
Artificial intelligence; COVID-19; Deep learning; Machine learning; Applications of AI; DEEP; PREDICTION;
D O I
10.1007/s00354-021-00128-0
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The Coronavirus disease (COVID-19) is an infectious disease caused by the newly discovered Severe Acute Respiratory Syndrome Coronavirus two (SARS-CoV-2). Most of the people do not have the acquired immunity to fight this virus. There is no specific treatment or medicine to cure the disease. The effects of this disease appear to vary from individual to individual, right from mild cough, fever to respiratory disease. It also leads to mortality in many people. As the virus has a very rapid transmission rate, the entire world is in distress. The control and prevention of this disease has evolved as an urgent and critical issue to be addressed through technological solutions. The Healthcare industry therefore needs support from the domain of artificial intelligence (AI). AI has the inherent capability of imitating the human brain and assisting in decision-making support by automatically learning from input data. It can process huge amounts of data quickly without getting tiresome and making errors. AI technologies and tools significantly relieve the burden of healthcare professionals. In this paper, we review the critical role of AI in responding to different research challenges around the COVID-19 crisis. A sample implementation of a powerful probabilistic machine learning (ML) algorithm for assessment of risk levels of individuals is incorporated in this paper. Other pertinent application areas such as surveillance of people and hotspots, mortality prediction, diagnosis, prognostic assistance, drug repurposing and discovery of protein structure, and vaccine are presented. The paper also describes various challenges that are associated with the implementation of AI-based tools and solutions for practical use.
引用
收藏
页码:717 / 741
页数:25
相关论文
共 50 条
  • [31] Artificial intelligence for COVID-19: saviour or saboteur?
    不详
    LANCET DIGITAL HEALTH, 2021, 3 (01): : E1 - E1
  • [32] Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era
    Hallak, Joelle A.
    Scanzera, Angelica C.
    Azar, Dimitri T.
    Chan, R. V. Paul
    CURRENT OPINION IN OPHTHALMOLOGY, 2020, 31 (05) : 447 - 453
  • [33] Artificial intelligence in COVID-19 drug repurposing
    Zhou, Yadi
    Wang, Fei
    Tang, Jian
    Nussinov, Ruth
    Cheng, Feixiong
    LANCET DIGITAL HEALTH, 2020, 2 (12): : E667 - E676
  • [34] Artificial Intelligence for COVID-19: A Systematic Review
    Wang, Lian
    Zhang, Yonggang
    Wang, Dongguang
    Tong, Xiang
    Liu, Tao
    Zhang, Shijie
    Huang, Jizhen
    Zhang, Li
    Chen, Lingmin
    Fan, Hong
    Clarke, Mike
    FRONTIERS IN MEDICINE, 2021, 8
  • [35] Fighting COVID-19, a place for artificial intelligence
    Emile, Sameh Hany
    Hamid, Hytham K. S.
    TRANSBOUNDARY AND EMERGING DISEASES, 2020, 67 (05) : 1754 - 1755
  • [36] The role of artificial intelligence in tackling COVID-19
    Arora, Neelima
    Banerjee, Amit K.
    Narasu, Mangamoori L.
    FUTURE VIROLOGY, 2020, 15 (11) : 717 - 724
  • [37] Artificial intelligence for COVID-19: battling the pandemic with computational intelligence
    Xu, Zhenxing
    Su, Chang
    Xiao, Yunyu
    Wang, Fei
    INTELLIGENT MEDICINE, 2022, 2 (01): : 13 - 29
  • [38] Leveraging resources and dynamic capabilities for organizational resilience amid COVID-19
    You, Ning Ning
    Lou, Yitian
    Zhang, Wuke
    Chen, Dezhi
    Zeng, Luyao
    SOUTH AFRICAN JOURNAL OF BUSINESS MANAGEMENT, 2023, 54 (01)
  • [39] Application of artificial intelligence (AI) to control COVID-19 pandemic: Current status and future prospects
    Ashique, Sumel
    Mishra, Neeraj
    Mohanto, Sourav
    Garg, Ashish
    Taghizadeh-Hesary, Farzad
    Gowda, B. H. Jaswanth
    Chellappan, Dinesh Kumar
    HELIYON, 2024, 10 (04)
  • [40] Curious thing, an artificial intelligence (AI)-based conversational agent for COVID-19 patient management
    Chow, Josephine Sau Fan
    Blight, Victoria
    Brown, Marian
    Glynn, Vanessa
    Lane, Brian
    Larkin, Amanda
    Marshall, Sonia
    Matthews, Prue
    Rowles, Mick
    Warner, Bradley
    AUSTRALIAN JOURNAL OF PRIMARY HEALTH, 2023, 29 (04) : 312 - 318