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

· · ·
· CRC Press
eBook
266
Pages
Eligible

About this eBook

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.

About the author

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".

Rate this eBook

Tell us what you think.

Reading information

Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Centre instructions to transfer the files to supported eReaders.