Special Issues
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Artificial Intelligence Convergence Healthcare System Leveraging Blockchain Networks

Submission Deadline: 30 December 2021 (closed) View: 1

Guest Editors

Dr. Jehad Ali, Ajou University, Korea.
Dr. Aitizaz Ali, Monash University, Malaysia.
Mr. Muhammad Adil, Virtual University, Lahore, Pakistan.


Blockchain-based healthcare systems are gaining more importance due to decentralization and distributed ledger. Patient health records (PHR) are gaining more importance due to their value and sensitivity. According to the breach level index every day millions of records are stolen world widely. There exist many issues related to security in centralized and traditional healthcare system, because most of them rely on centralized authority. In order to avoid central authority, blockchain is the most appropriate technology which provides distributed access and immutable records. It is also observed by the researchers that blockchain can provide resistance to collusion and phishing attacks which are mostly related to electronic health records (EHR).

Deep Learning (DL) is the most prominent and effective technique of artificial intelligence which is more effective in user classification in blockchain-based healthcare systems. Artificial Intelligence (AI) provides users with behavior tracking and monitoring in an effective way. Smart contracts-based AI and DL techniques can provide more sophisticated and provide resource allocation in P2P networks.

Our special issue looks forward to novel technologies using artificial intelligence and machine learning-based blockchain technology for healthcare systems. The special issue covering new research findings in blockchain technology using artificial intelligence and machine learning. The potential topics are not limited to methodologies and challenges of AI-based blockchain technology using healthcare systems. We welcome originally high-quality research and review articles.


Potential Topics includes but are not limited to the following:
• Leveraging Blockchain-Based Security in the healthcare system
• Security, Privacy, and preservation in the healthcare system
• Homomorphic encryption-based keyword search in blockchain systems
• Artificial intelligence-based user’s classification in the blockchain-based healthcare system
• Placement Problem in Big data and its impact on healthcare systems
• The role of ring signature for effective security resistance and fault management in blockchain-assisted healthcare systems
• Software Defined Network (SDN) and its integration with blockchain
• Cross-domain based distributed healthcare systems and its impact on performance
• Trustless blockchain and the role of neural network
• Secure Access control using blockchain technology
• Delay reduction in P2P networks leveraging AI and security-based healthcare systems

Published Papers

  • Open Access


    Energy-Efficient Scheduling for a Cognitive IoT-Based Early Warning System

    Saeed Ahmed, Noor Gul, Jahangir Khan, Junsu Kim, Su Min Kim
    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5061-5082, 2022, DOI:10.32604/cmc.2022.023639
    (This article belongs to the Special Issue: Artificial Intelligence Convergence Healthcare System Leveraging Blockchain Networks)
    Abstract Flash floods are deemed the most fatal and disastrous natural hazards globally due to their prompt onset that requires a short prime time for emergency response. Cognitive Internet of things (CIoT) technologies including inherent characteristics of cognitive radio (CR) are potential candidates to develop a monitoring and early warning system (MEWS) that helps in efficiently utilizing the short response time to save lives during flash floods. However, most CIoT devices are battery-limited and thus, it reduces the lifetime of the MEWS. To tackle these problems, we propose a CIoT-based MEWS to slash the fatalities of… More >

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