Full Description
In today's era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI.
6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry.
This book:
Offers the fundamentals, history, reality, and the challenges faced in the smart healthcare industry
Discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used
Details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems
Presents applications of smart healthcare through various real-world examples
Includes topics on security and privacy in 6G-enabled IoT, as well as research and future prospectus of the smart healthcare industry
Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.
Contents
Chapter 1. Introduction to Smart Healthcare: Healthcare Digitization. Chapter 2. AI and IoT for Smart Healthcare: Background and Preliminaries. Chapter 3. Security and Privacy Issues in Smart Healthcare Using Machine-Learning Perspectives. Chapter 4. A Framework for Virtual Reality in Healthcare: Insight for Disaster Preparation. Chapter 5. Mobile Healthcare Applications: Critical Privacy and Security Issues, Challenges, and Solutions. Chapter 6. 6G-Enabled IoT for eHealthcare Systems: Emergence and Upgradation. Chapter 7. Machine Learning in Healthcare Cybersecurity: Role of Human Activity Recognition and Impact of 6G in Smart Healthcare. Chapter 8. 6G-Enabled IoT Wearable Devices for Elderly Healthcare. Chapter 9. 6G-Based Smart Healthcare Solutions: Beyond Industry 4.0 Trends and Products. Chapter 10. Influence of AI and 6G-Enabled IoT in Smart Healthcare: Challenges and Solutions. Chapter 11. Success Stories for IoT-Enabled 6G for Prediction and Monitoring of Infectious Diseases with Artificial Intelligence. Chapter 12. Emerging Internet of Things (IoTs) Scenarios using Machine Learning for 6G over 5G-Based Communications. Chapter 13. 6G: Technology, Advancement, Barriers and Future.
