The advancement of medical technology and the integration of Cyber-Physical Systems (CPS) have opened up new possibilities for enhanced healthcare services. Electronic Health Record (EHR) aims to standardize the structure of medical data to prevent duplication by providing a high-interoperable framework. However, the growing complexity and sensitivity of medical data in CPS, and their usage in Artificial Intelligence (AI) applications have led to numerous challenges, including data integrity, privacy, and security concerns. Decentralization, particularly blockchain technology, has emerged as a promising solution to address these issues and revolutionize the healthcare industry. In this chapter, we explore applications of blockchain technology in medical CPS, aiming to provide a comprehensive understanding of its potential benefits and limitations within the AI domain. We present a review of existing literature and case studies, highlighting the key advantages of blockchain in the context of medical data management, healthcare supply chains, patient records, and medical Internet of Things (IoT) devices. The incorporation of blockchain in medical IoT devices establishes a robust framework for secure device communication, data integrity verification, and authentication, which are all fundamental properties in AI applications. By leveraging distributed ledger technology, medical IoT networks can mitigate potential cyber threats and protect patient safety. Despite the numerous advantages, this chapter also discusses the challenges and limitations that may hinder the widespread implementation of blockchain for securing AI in the medical domain.

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The Role of Blockchain in AI-Driven Medical Cyber-Physical Systems

  • Biagio Boi,
  • Christian Esposito

摘要

The advancement of medical technology and the integration of Cyber-Physical Systems (CPS) have opened up new possibilities for enhanced healthcare services. Electronic Health Record (EHR) aims to standardize the structure of medical data to prevent duplication by providing a high-interoperable framework. However, the growing complexity and sensitivity of medical data in CPS, and their usage in Artificial Intelligence (AI) applications have led to numerous challenges, including data integrity, privacy, and security concerns. Decentralization, particularly blockchain technology, has emerged as a promising solution to address these issues and revolutionize the healthcare industry. In this chapter, we explore applications of blockchain technology in medical CPS, aiming to provide a comprehensive understanding of its potential benefits and limitations within the AI domain. We present a review of existing literature and case studies, highlighting the key advantages of blockchain in the context of medical data management, healthcare supply chains, patient records, and medical Internet of Things (IoT) devices. The incorporation of blockchain in medical IoT devices establishes a robust framework for secure device communication, data integrity verification, and authentication, which are all fundamental properties in AI applications. By leveraging distributed ledger technology, medical IoT networks can mitigate potential cyber threats and protect patient safety. Despite the numerous advantages, this chapter also discusses the challenges and limitations that may hinder the widespread implementation of blockchain for securing AI in the medical domain.