Artificial Intelligence and Blockchain Technology in Modern Telehealth Systems
portes grátis
Artificial Intelligence and Blockchain Technology in Modern Telehealth Systems
Imoize, Agbotiname Lucky; Do, Dinh-Thuan; Awotunde, Joseph Bamidele; Meshram, Chandrashekhar
Institution of Engineering and Technology
01/2024
704
Dura
Inglês
9781839538636
15 a 20 dias
Descrição não disponível.
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
blockchains; artificial intelligence; health care; telemedicine; data privacy
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
