AI and IoT in Medicine: Pioneering Smart Technologies Specialized Healthcare

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Bol "AI and IoT in Medicine: Pioneering Smart Technologies in Specialized Healthcare" aims to inform and educate readers about the role of Internet of Things (IoT) and artificial intelligence (AI) in the medical industry. It demonstrates how these technologies are being applied to improve healthcare in the real world. The book examines the design of a blockchain-based data security and management framework tailored for smart healthcare environments, including hospitals, remote monitoring systems, wearable devices, and interconnected clinical platforms. It introduces the fundamentals of healthcare data ecosystems, outlines major security and privacy threats, and explains the relevance of blockchain, cryptography, access control, and decentralized trust in modern health information systems. A major focus is placed on the mathematical foundations required to model secure data exchange, authentication, integrity verification, storage efficiency, and system performance. The volume also discusses interoperability, auditability, emergency access, and governance issues, while presenting implementation perspectives and case-based applications that connect theory with practice in realistic healthcare settings.

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"AI and IoT in Medicine: Pioneering Smart Technologies in Specialized Healthcare" aims to inform and educate readers about the role of Internet of Things (IoT) and artificial intelligence (AI) in the medical industry. It demonstrates how these technologies are being applied to improve healthcare in the real world. The book examines the design of a blockchain-based data security and management framework tailored for smart healthcare environments, including hospitals, remote monitoring systems, wearable devices, and interconnected clinical platforms. It introduces the fundamentals of healthcare data ecosystems, outlines major security and privacy threats, and explains the relevance of blockchain, cryptography, access control, and decentralized trust in modern health information systems. A major focus is placed on the mathematical foundations required to model secure data exchange, authentication, integrity verification, storage efficiency, and system performance. The volume also discusses interoperability, auditability, emergency access, and governance issues, while presenting implementation perspectives and case-based applications that connect theory with practice in realistic healthcare settings.


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  • 9781032939384
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