The expansion of telehealth services is enabling healthcare professionals to consult, diagnose, advise or perform tasks remotely, enabling them to treat more patients in their own homes or consult on cases on the other side of the world. The security of sensitive user information is critical to effective and efficient delivery of healthcare services. Artificial intelligence (AI) and blockchain technology are identified as key drivers of emerging telehealth systems, enabling efficient delivery of telehealth services to billions of patients globally. Specifically, AI facilitates the processing and analysis of complex telehealth data, and blockchain technology offers decentralised, transparent, traceable, reliable, trustful, and provable security to telehealth systems.

• Chapter 1: An overview of artificial intelligence and blockchain technology in telehealth systems
• Chapter 2: Taxonomy of artificial intelligence and blockchain technology in telehealth systems
• Chapter 3: A review of AI-based wireless communication channels, models and protocols for telehealth systems
• Chapter 4: Artificial intelligence and blockchain technology for efficient electronic medical record management
• Chapter 5: Artificial intelligence and blockchain enabling data access authorization in telehealth systems
• Chapter 6: Artificial intelligence and blockchain-assisted projects and synergies for telehealth systems
• Chapter 7: Recent advances in AI and blockchain technology in modern telehealth systems
• Chapter 8: Architectural design criteria for AI and blockchain technology in telehealth systems
• Chapter 9: Addressing computational complexity issues in telehealth systems using artificial intelligence and blockchain technology
• Chapter 10: Examining the potential issues and risks associated with the integration of AI and blockchain technology in telehealth systems
• Chapter 11: Artificial intelligence and Blockchain technology enabling cybersecurity in telehealth systems
• Chapter 12: Testing and validation of AI and blockchain-based models for application in telehealth systems
• Chapter 13: Mitigating cyber threats in healthcare systems: the role of artificial intelligence and machine learning
• Chapter 14: Government regulatory policies on telehealth data protection using artificial intelligence and blockchain technology
• Chapter 15: Legal frameworks for artificial intelligence and blockchain technology in telehealth systems
• Chapter 16: Application of artificial intelligence and blockchain technology in telehealth systems: innovation, technology, challenges, and prospects
• Chapter 17: Location information privacy protection method considering human presence probability
• Chapter 18: Emerging case studies on the application of AI and blockchain technology in telehealth systems
• Chapter 19: Achieving quality healthcare using Blockchain technology for detecting fake drugs
• Chapter 20: Cybersecurity in centralized healthcare systems: overview, design framework, challenges, and research trends
• Chapter 21: Artificial intelligence and blockchain for robust healthcare delivery: from the perspective of security and confidentiality