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AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research

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Area of Science:

  • Healthcare Informatics
  • Computer Science
  • Artificial Intelligence

Background:

  • Blockchain technology offers security and privacy, expanding beyond cryptocurrencies into healthcare for data management and transactions.
  • Integrating Artificial Intelligence (AI) with blockchain enhances system capabilities, creating powerful tools for the healthcare industry.

Purpose of the Study:

  • To review the foundational concepts of blockchain and AI individually.
  • To explore the synergistic applications of AI and blockchain in healthcare.
  • To identify current challenges and future research directions in AI-powered blockchain healthcare systems.

Main Methods:

  • Comprehensive literature review of AI and blockchain technologies.
  • Analysis of AI algorithms (supervised, unsupervised, deep learning) used in conjunction with blockchain.
  • Examination of AI-blockchain applications across various healthcare domains.

Main Results:

  • AI-blockchain integration is revolutionizing healthcare sectors including electronic health record (EHR) management, remote patient monitoring, telemedicine, genomics, drug research, and outbreak prediction.
  • Various machine learning and deep learning algorithms, alongside specific platforms, are detailed for their roles in AI-blockchain healthcare systems.
  • Identified challenges stem from inherent limitations of AI and blockchain technologies.

Conclusions:

  • The convergence of AI and blockchain presents significant opportunities for advancing healthcare efficiency, security, and patient outcomes.
  • Further research is needed to address existing challenges and fully realize the potential of these integrated technologies in healthcare.