Evolving Role of AI and IoMT in the Healthcare Market (eBook, PDF)

Redaktion: Al-Turjman, Fadi; Bhardwaj, Akashdeep; Stephan, Thompson; Kumar, Manoj

• Format: PDF

Produktbeschreibung

This book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world.

• Covers the applications of artificial intelligence (AI), and Internet of Medical Things (IoMT) in the Healthcare domain;
• Discusses how the usage of IoT and AI helps to analyze medical data in terms of diagnosis, disease prediction, and analysis of enormous health records;
• Covers a variety of Medical IoT based applications that are being used in different sectors and have succeeded in providing considerable benefits to the users in critical health application.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 281
• Erscheinungstermin: 6. Januar 2022
• Englisch
• ISBN-13: 9783030820794
• Artikelnr.: 63264297

Autorenporträt

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen's University, Canada, in 2011. He is the associate dean for research  and the founding director of the International Research Center for AI and IoT at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is the head of Artificial Intelligence Engineering Dept., and a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks' architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 400 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks' deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. He has receivedseveral recognitions and best papers' awards at top international conferences. He also received the prestigious Best Research Paper Award  from Elsevier Computer Communications Journal for the period 2015-2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Prof. Al-Turjman has led a number of international symposia and workshops in flagship communication society conferences. Currently, he serves as book series editor and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 7.8), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.    Dr. Manoj Kumar obtained his Ph.D. Computer Science from The Northcap University, Gurugram. He did his B. Tech in computer science from Kurukshetra University. He obtained M. Sc. (Information Security and Forensics) degree from ITB, Dublin in and M. Tech from ITM University. Mr. Kumar has 9.5+ years of experience in research and academics. He published over 29 publications in reputed journals and conferences. He published 2 books and 5 patents with his team. Presently, Mr. Kumar is working on the post of assistant professor (SG), (SoCS) in university of petroleum and energy studies, Dehradun. He is a member of various professional bodies and reviewed for many reputed journals. He is Editorial Board Member in The International Arab Journal of Information Technology (IAJIT), Jordon and Journal of Computer Science Research, Singapore. He is recognized as Quarterly Franklin Member (QFM) by London Journal Press from March 2019 onwards and Bentham Ambassador (India) on behalf of Bentham Science Publisher. He delivered various key speech and talks in national and international forums.   Dr. Thompson Stephan is currently holding the position of Assistant Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, M. S. Ramaiah University of Applied Sciences, Bangalore, Karnataka, India. He received the Ph.D. degree in Computer Science and Engineering from Pondicherry University, India. He was awarded for his academic excellence in his master's degree with a university rank. He received the Best Researcher Award-2020, IEEE Bangalore Section, India. His research interests focus on the implementations and practical applications of computational intelligence and machine learning techniques. He has authored many technical research papers published in leading journals and conferences from the IEEE, Elsevier, Springer, etc. He is an active reviewer in many international reputed journals. He is currently the editor of many books. He is currently a member of IEEE.   Dr. Akashdeep Bhardwaj received his Ph.D. in Computer Scienceand is currently working as Professor (Cybersecurity & Digital Forensics) in the School of Computer Science at the University of Petroleum and Energy Studies (UPES), Dehradun. Dr. Bhardwaj has over 25 years of IT industry experience in Cybersecurity, Digital Forensics and IT Management Operations, having worked with several global multi nationals such as British Telecom, Fiserv, Cvent, Motricity, SafeNet (Gemalto) and HP. His publication experience spans several research publications in highly referred journals, conferences, patents, books, and book chapters and is also an active reviewer and associate editor for several international journals.

Inhaltsangabe

Introduction.- Insights on Cognitive Neuroscience Based on Deep Neural Networks.- Robot Assisted Treatment for Children with Learning Disabilities.- Machine learning based approaches for detecting COVID-19 using clinical data in an IoMT environment.- COVID-19 Epidemic Analysis using Deep Learning Approaches.- A Cancer Diagnosis System for Detection of Lung Cancers in an IOMT Environment.- An IOMT-Based Diagnosis System for COVID-19.- Prediction of COVID-19 Epidemic Curve of India: A Machine Learning Approach.- Internet of Medical Things (IoMT) services during COVID-19 pandemic: Roles, challenges, and applications.- Tackling Security and Privacy in Internet of Medical Things (IoMT).- Lightweight AI-Based Security Solutions in IoMT.- Conclusion.