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
  • [21] Current applications of artificial intelligence for COVID-19
    Jakhar, Deepak
    Kaur, Ishmeet
    DERMATOLOGIC THERAPY, 2020, 33 (04)
  • [22] Survey of Artificial Intelligence in COVID-19 Pandemic
    Sun, Shukui
    Fan, Jing
    Li, Zhanwen
    Qu, Jinshuai
    Lu, Peidong
    Computer Engineering and Applications, 2024, 59 (05) : 28 - 39
  • [23] COVID-19 and Artificial Intelligence: the pandemic pacifier
    Banerjee, Indrajit
    Robinson, Jared
    Kashyap, Abhishek
    Mohabeer, Poornasha
    Sathian, Brijesh
    NEPAL JOURNAL OF EPIDEMIOLOGY, 2020, 10 (04): : 919 - 922
  • [24] Artificial Intelligence for COVID-19: Rapid Review
    Chen, Jiayang
    See, Kay Choong
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (10)
  • [25] The 2021 COVID-19 Artificial Intelligence Issue
    Hsieh, James J.
    CLINICAL GENITOURINARY CANCER, 2021, 19 (01) : 1 - 2
  • [26] The prospective of Artificial Intelligence in COVID-19 Pandemic
    Swayamsiddha, Swati
    Prashant, Kumar
    Shaw, Devansh
    Mohanty, Chandana
    HEALTH AND TECHNOLOGY, 2021, 11 (06) : 1311 - 1320
  • [27] Artificial intelligence and COVID-19: A multidisciplinary approach
    Ahuja, Abhimanyu S.
    Reddy, Vineet Pasam
    Marques, Oge
    INTEGRATIVE MEDICINE RESEARCH, 2020, 9 (03)
  • [28] Role of Artificial Intelligence in COVID-19 Detection
    Gudigar, Anjan
    Raghavendra, U.
    Nayak, Sneha
    Ooi, Chui Ping
    Chan, Wai Yee
    Gangavarapu, Mokshagna Rohit
    Dharmik, Chinmay
    Samanth, Jyothi
    Kadri, Nahrizul Adib
    Hasikin, Khairunnisa
    Barua, Prabal Datta
    Chakraborty, Subrata
    Ciaccio, Edward J.
    Acharya, U. Rajendra
    SENSORS, 2021, 21 (23)
  • [29] A REVIEW OF ARTIFICIAL INTELLIGENCE IN TREATMENT OF COVID-19
    Gandla, Kumaraswamy
    Reddy, Konatham Teja Kumar
    Babu, Penke Vijaya
    Sagapola, Rajinikanth
    Sudhakar, Peta
    JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS, 2022, 13 : 254 - 264
  • [30] COVID-19 pandemic and potential of artificial intelligence
    Bhonsale, Aman
    Ahirwar, Ashok Kumar
    Kaim, Kirti
    Jha, Puja Kumari
    HORMONE MOLECULAR BIOLOGY AND CLINICAL INVESTIGATION, 2022, 43 (01) : 81 - 84