6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis

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. Cover Half Title Series Page Title Page Copyright Page Contents Preface Editors Contributors 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 e-Healthcare 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 the Future Index