1st Edition

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

    266 Pages 86 B/W Illustrations
    by CRC Press

    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.

    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


    Ashish Kumar, Ph.D., is working as an assistant professor with Bennett University, Greater Noida, U.P., India. He has completed his Ph.D. in computer science and engineering from Delhi Technological University (formerly DCE), New Delhi, India in 2020. He has received best researcher award from the Delhi Technological University for his contribution in the computer vision domain. He has completed M.Tech in computer Science and engineering from GGS Inderpratha University, New Delhi. He has published many research papers in various reputed national and international journals and conferences. His current research interests include object tracking, image processing, artificial intelligence, and medical imaging analysis.

    Dr. Rachna Jain, currently working as Associate Professor(IT Department) in Bhagwan Parshuram Institute of Technology (GGSIPU) since Aug 2021.She has worked as Assistant Professor(Computer Science Department) in Bharati Vidyapeeth's College of Engineering (GGSIPU) from Aug 2007-Aug 2021.She did her PHD from Banasthali Vidyapith (Computer Science) in 2017.She received ME in year 2011 from Delhi college of engineering with specialisation in Computer Technology and Applications. She did her B.tech in 2006 from N.C College of Engineering, Kurukshetra University. Her current research interests are Cloud Computing, Information security, Deep Learning and Machine Learning. She has contributed more than 20 book chapters in various books. She has also served as Session Chair in various International Conferences. She completed DST Project titled "Design an autonomous intelligent drone for city surveillance" as CO-PI. A total of 16+ Years of Academic Experience with more than 100+ Publications in International Conferences cum International Journals(Scopus/ISI/SCI) of High Repute.

    Dr. Meenu Gupta is an Associate Professor at the UIE-CSE Department, Chandigarh University, India. She has completed her Ph.D. degree in Computer Science and Engineering with an emphasis on Traffic Accident Severity Problems from Ansal University, Gurgaon, India, in 2020. She has more than 13 years of teaching experience. Her research areas cover Machine Learning, Intelligent Systems, Data mining, Artificial Intelligence, Image Processing and Analysis, Smart Cities, Data Analysis, and Human/Brain-machine Interaction (BMI). She has edited two books on healthcare and cancer diseases and authored four engineering books. She is a reviewer for several journals, including Big Data, CMC, Scientific Reports, and TSP. She is a life member of ISTE and IAENG. She has authored or co-authored more than 20 book chapters and over 50 papers in refereed international journals and conferences. She has four filed patents and was recently awarded the best faculty and researcher of the department.

    Dr. Sardar M.N. Islam has lived, studied, worked, and travelled (extensively) in different countries over a long period. He adopts a global and humanistic approach in his research and academic works. He is a Professor at Victoria University, Melbourne, Australia. His research has attracted international acclaim, leading to several appointments as a distinguished visiting professor, visiting professor, or adjunct professor. Dr. Islam has also received many invitations to address international conferences as a keynote speaker. He has published 31 authored research books (published by reputed publishers) and about 250 articles. He is also a Distinguished Visiting Professor of Artificial Intelligence, UnSri; Adjunct Professor of IT and Business, Armstrong Institute, Melbourne; and Editor-in-Chief of "International Transactions on Artificial Intelligence".