Blockchain and artificial intelligence applications to defeat COVID-19 pandemic

被引:0
|
作者
Baz M. [1 ]
Khatri S. [2 ]
Baz A. [3 ]
Alhakami H. [4 ]
Agrawal A. [2 ]
Khan R.A. [2 ]
机构
[1] Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif P.O. Box 11099, Taif
[2] Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow
[3] Department of Computer Engineering, College of Computer and Information Systems, Umm Al-Qura University, Makkah
[4] Department of Computer Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah
来源
关键词
Artificial intelligence; Coronavirus (COVID-19); Epidemic; Information privacy; Machine learning; SARS-CoV-2;
D O I
10.32604/CSSE.2022.019079
中图分类号
学科分类号
摘要
The rapid emergence of novel virus named SARS-CoV2 and unchecked dissemination of this virus around the world ever since its outbreak in 2020, provide critical research criteria to assess the vulnerabilities of our current health system. The paper addresses our preparedness for the management of such acute health emergencies and the need to enhance awareness, about public health and healthcare mechanisms. In view of this unprecedented health crisis, distributed ledger and AI technology can be seen as one of the promising alternatives for fighting against such epidemics at the early stages, and with the higher efficacy. At the implementation level, blockchain integration, early detection and avoidance of an outbreak, identity protection and safety, and a secure drug supply chain can be realized. At the opposite end of the continuum, artificial intelligence methods are used to detect corona effects until they become too serious, avoiding costly drug processing. The paper explores the application of blockchain and artificial intelligence in order to fight with COVID-19 epidemic scenarios. This paper analyzes all possible newly emerging cases that are employing these two technologies for combating a pandemic like COVID-19 along with major challenges which cover all technological and motivational factors. This paper has also discusses the potential challenges and whether further production is required to establish a health monitoring system. © 2021 CRL Publishing. All rights reserved.
引用
收藏
页码:691 / 702
页数:11
相关论文
共 50 条
  • [21] Artificial intelligence and the COVID-19 pandemic: Ethical implications
    Alexiadou, A. S.
    ARCHIVES OF HELLENIC MEDICINE, 2020, 37 (05): : 708 - 713
  • [22] 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
  • [23] Role of Artificial Intelligence in Combating COVID-19 Pandemic
    Kaur, Puneet
    Kaur, Jasdeep
    Singh, Prabhsimran
    Sharma, Sandeep
    ADVANCES IN DATA AND INFORMATION SCIENCES, 2022, 318 : 121 - 129
  • [24] Artificial Intelligence Functionalities During the COVID-19 Pandemic
    Marzaleh, Milad Ahmadi
    Peyravi, Mahmoudreza
    Mousavi, Shahrokh
    Sarpourian, Fatemeh
    Seyedi, Milad
    Shalyari, Naseh
    DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS, 2023, 17
  • [25] The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic
    Francesco Piccialli
    Vincenzo Schiano di Cola
    Fabio Giampaolo
    Salvatore Cuomo
    Information Systems Frontiers, 2021, 23 : 1467 - 1497
  • [26] A Blockchain and Artificial Intelligence-Based, Patient-Centric Healthcare System for Combating the COVID-19 Pandemic: Opportunities and Applications
    Jabarulla, Mohamed Yaseen
    Lee, Heung-No
    HEALTHCARE, 2021, 9 (08)
  • [27] Blockchain technology and its applications to combat COVID-19 pandemic
    Sharma A.
    Bahl S.
    Bagha A.K.
    Javaid M.
    Shukla D.K.
    Haleem A.
    Research on Biomedical Engineering, 2022, 38 (01) : 173 - 180
  • [28] Artificial Intelligence against COVID-19 Pandemic: A Comprehensive Insight
    Equbal, Azhar
    Masood, Sarfaraz
    Equbal, Iftekhar
    Ahmad, Shafi
    Khan, Noor Zaman
    Khan, Zahid A.
    CURRENT MEDICAL IMAGING, 2023, 19 (01) : 1 - 18
  • [29] Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview
    Elsheikh, Ammar H.
    Saba, Amal I.
    Panchal, Hitesh
    Shanmugan, Sengottaiyan
    Alsaleh, Naser A.
    Ahmadein, Mahmoud
    HEALTHCARE, 2021, 9 (12)
  • [30] 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