Ai And Blockchain Applications For Privacy And Security In Smart Medical Systems
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AI and Blockchain Applications for Privacy and Security in Smart Medical Systems
Medical systems have evolved over time to enhance healthcare efficiency and patient outcomes. To revolutionize privacy and security organizations must integrate AI and blockchain technologies. AI analytics optimize diagnostics, treatment planning, and real-time monitoring, while blockchain ensures tamper-proof data integrity, secures patient records, and ensures transparent transactions. With both technologies working together, it addresses critical challenges like data breaches, unauthorized personnel, and inoperability issues in healthcare networks. Applying AI and blockchain applications to security frameworks and medical systems can offer efficient privacy and trustworthy digital systems. AI and Blockchain Applications for Privacy and Security in Smart Medical Systems explores the integration of AI, blockchain, smart technologies, and communication systems in modern healthcare. It examines how these applications can enhance security, privacy, data integrity, and operational efficiency in healthcare systems. This book covers topics such as smart AI, blockchain, and healthcare technologies, and is an excellent resource for academic professionals, healthcare technologists, and medical practitioners.
Artificial Intelligence in Healthcare
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things
The fast-growing number of patients suffering from various ailments has overstretched the carrying capacity of traditional healthcare systems. This handbook addresses the increased need to tackle security issues and preserve patients’ privacy concerns in Artificial Intelligence of Medical Things (AIoMT) devices and systems. Handbook of Security and Privacy of AI-Enabled Healthcare Systems and the Internet of Medical Things provides new insights into the deployment, application, management, and benefits of AIoMT by examining real-world scenarios. The handbook takes a critical look at existing security designs and offers solutions to revamp traditional security architecture, including the new design of effi cient intrusion detection algorithms, attack prevention techniques, and both cryptographic and noncryptographic solutions. The handbook goes on to discuss the critical security and privacy issues that affect all parties in the healthcare ecosystem and provides practical AI-based solutions. This handbook offers new and valuable information that will be highly beneficial to educators, researchers, and others.