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ABOUT THE BOOK

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.

TABLE OF CONTENTS

Chapter 1. Introduction to Smart Healthcare: Healthcare Digitization

Sai Dhakshan Y. and Amit Kumar Tyagi

Chapter 2. AI and IoT for Smart Healthcare: Background and Preliminaries

Prabhjot Kaur, Sharad Chauhan, Meenu Gupta, and Ashish Kumar

Chapter 3. Security and Privacy Issues in Smart Healthcare Using Machine-Learning Perspectives

Ashish Kumar, Neha Gupta, Paarth Bhasin, Sharad Chauhan, and Imane Bachri

Chapter 4. A Framework for Virtual Reality in Healthcare: Insight for Disaster Preparation

Tina Dudeja, Akanksha Dhamija, Tanisha Madaan, Richa Sharma, Narina Thakur, and Zarqua Neyaz

Chapter 5. Mobile Healthcare Applications: Critical Privacy and Security Issues, Challenges, and Solutions

Sunita Kumari, Arush Sachdeva, Anant Bansal, and Deepanshu Pal

Chapter 6. 6G-Enabled IoT for eHealthcare Systems: Emergence and Upgradation

Richa Gupta and Deepshikha Yadav

Chapter 7. Machine Learning in Healthcare Cybersecurity: Role of Human Activity Recognition and Impact of 6G in Smart Healthcare

Neha Gupta, Suneet Kumar Gupta, and Vanita Jain

Chapter 8. 6G-Enabled IoT Wearable Devices for Elderly Healthcare

Shubham Gargrish, Sharad, Meenu Gupta, and Ahmed J. Obaid

Chapter 9. 6G-Based Smart Healthcare Solutions: Beyond Industry 4.0 Trends and Products

Chander Prabha and Deepak Kumar Jain

Chapter 10. Influence of AI and 6G-Enabled IoT in Smart Healthcare: Challenges and Solutions

Kritika Upadhyay and Manisha Bharti

Chapter 11. Success Stories for IoT-Enabled 6G for Prediction and Monitoring of Infectious Diseases with Artificial Intelligence

S. Chandrakala and G. Revathy

Chapter 12. Emerging Internet of Things (IoTs) Scenarios using Machine Learning for 6G over 5G-Based Communications

Raghav Dangey, Arjun Tandon, and Amit Kumar Tyagi

Chapter 13. 6G: Technology, Advancement, Barriers and Future

Meghna Manoj Nair and Amit Kumar Tyagi