Edge-AI in Healthcare (eBook, ePUB)

Trends and Future Perspectives
Redaktion: Vyas, Sonali; Kumar Shukla, Vinod; Bhargava, Deepshikha; Upadhyaya, Akanksha

• Format: ePub

Produktbeschreibung

The book provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions. It provides insights for improving the healthcare industry by examining future trends, simplifying decision making and investigating structured and unstructured data.

Edge-AI in Healthcare: Trends and Future Perspective is more than a comprehensive introduction to Artificial Intelligence as a tool in healthcare data. The book is split into five chapters covering the entire healthcare ecosystem. First section is introduction to Edge-AI in healthcare. It discusses data usage, modelling and simulation techniques as well as machine and deep learning approaches. The second section discusses the implementation of edge AI for smart healthcare. The topics discussed in this section include, AR/VR and cloud computing, big data management, algorithms, optimization, and IoMT techniques and methods. Third section covers role of Edge-AI in healthcare and the challenges and opportunities of the technologies. This section also provides case studies and discusses sustainability, security, privacy, and trust related to Edge-AI in healthcare.

This book is intended to benefit researchers, academics, industry professionals, R & D organizations and students working in the field of healthcare, healthcare informatics and their applications.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 278
• Erscheinungstermin: 31. Juli 2023
• Englisch
• ISBN-13: 9781000906332
• Artikelnr.: 68429034

Autorenporträt

Dr. Sonali Vyas Ph.D. (Computer Science), SMIEEE She is serving as an academician and researcher for more than a decade. Currently, she is working as Assistant Professor (Selection Grade) in the School of Computer Science at the University of Petroleum and Energy Studies, Uttarakhand. Her research interest includes Healthcare Informatics, Blockchain, Database Virtualization, Data Mining, and Big Data Analytics. She has authored the ample number of research papers, articles and chapters in refereed journals/conference proceedings and books. She authored a book on "Smart Health Systems", Springer. She is also an editor of "Pervasive Computing: A Networking Perspective and Future Directions", Springer Nature and "Smart Farming Technologies for Sustainable Agricultural Development, IGI Global". She acted as a guest editor in a special issue of "Machine Learning and Software Systems" in "Journal of Statistics & Management Systems (JSMS)" (Thomson Reuters)". She has also authored 3 patents in the area of Smart and sustainable system. She has also acted as a Resource Person in AICTE-ISTE Faculty Refresher Course on "Embedded Systems, IoT, Pervasive Computing" and delivered many talks reputed International and National Conferences. She is also a member of Editorial Board and Reviewer Board in many referred National and International journals. She has also been a member of Organizing Committee, National Advisory Board and Technical Program Committee at many International and National conferences. She has also chaired sessions in various reputed International and National Conferences. She has been awarded as "National Distinguished Educator Award 2021" and "International Young Researcher Award 2021", instituted by the "International Institute of organized Research (I2OR) which is a registered MSME, Government of India" and Green ThinkerZ. Also awarded as "Women Researcher Award 2021", by VDGOOD Professional Association in International Conference on award winners in Engineering, Science and Medicine. Also awarded as "Best Academician of the Year Award (Female)" in "Global Education and Corporate Leadership Awards (GECL-2018)". She is a professional member of Senior Member-IEEE, ACM-India, CSI, IFERP, IAENG, ISOC, SCRS and IJERT. Dr. Akanksha Upadhyaya Ph.D. (Computer Science) She is working as an Associate Professor and Head AI Cell at Rukmini Devi Institute of Advanced Studies. She has been associated with RDIAS for more than 9 years with an overall experience of more than 13 years, as an Academician. She has teaching experience in the field of Information Technology, Computer Science, and Management Sciences. She holds a Ph.D. from Amity University, Noida in the field of data authentication and fraud detection. She has been awarded with outstanding thesis award in 2020 by GRF. Under her vast experience, she has presented papers at various National and International Conferences and received best paper awards. She has written more than 25 research papers, some of which have appeared in journals and conferences with Scopus indices from publishers like IGI Global, IEEE, Springer, Inderscience, and Elsevier, to mention a few. She has chaired sessions at several international and national conferences organized by IIM and other premier institutions, served as a guest editor for renowned international book publications, and reviewed articles for Peer Reviewed Journals, Springer Nature, Inderscience, and other reputable international publishers. She has two patents to her name and is currently serving as a guest editor for three edited books by CRC Press, Apple Academic Press, and Nova Science Publisher. She is a beneficent speaker and Resource Person in the field of Research Methodology and Data Authentication in several Research workshops and faculty development programs. Prof. (Dr) Deepshikha Bhargava PhD (Computer Science), Banasthali Vidyapith, Rajasthan, SMIEEE, LMCSI, MIE, M.Tech. (CS), MCA, M.Sc. (CS) She has a rich experience of around 22+ years as an academician. At present working as Professor & Head of Institution, Amity University Uttar Pradesh, Greater Noida (An Atulyam Campus). She has authored 16 books & 14 Book chapters, edited 02 Books, and published 60+ research papers in Journals and Conference Proceedings. She has recently nominated as a member in Project Review Steering Group (PRSG), Ministry of Electronics & IT (MeitY), Govt. of India. She has also served as visiting fellow at Université des Mascareignes (UDM), Ministry of Education and Human Resources, Tertiary Education and Scientific Research, Mauritius. She has been nominated by MeitY, Govt. of India to visit Drone Application and Research Center (DARC), Information Technology Development Agency (ITDA) Department of Information Technology, (Govt. of Uttarakhand). She is also empaneled in PaperVest Press Scientific Advisors, PaperVest University Publisher of Centro Universitário Facvest - UNIFACVEST, Brazil. Recently she has been included as Reviewer for 2022 NSF Graduate Research Fellowship Program (GRFP) by National Science Foundation (NSF), USA. Prof. Bhargava also received the awards: "Active Participation Woman Award", "Best Faculty of the year" under subcategory 'Authoring Books on Contemporary Subjects' to name a few. She also awarded by MHRD, Govt. of India in year 1992 for academic excellence. She is member, UN Online Volunteering; Institute of Engineers (IE), ACM-W, Senior Member-IEEE, ACM-CSTA; Computer Society of India (CSI); Project Management Institute (PMI), Indian Society of Lightening Engineers (ISLE) and Vigyan Bharti (Vibha). Overall, 04 PhDs completed under her guidance. Her Research thrust areas are Artificial Intelligence, Soft computing, Bio-inspired computation, and Healthcare informatics. Dr. Vinod Kumar Shukla Ph.D. (Computer Science) He is currently working with Amity University, Dubai, and UAE as a capacity of Associate Professor - Information Technology and Head of Academics - Engineering Architecture Interior Design, Amity University Dubai, United Arab Emirates. He has more than 14 years of experience. He has completed his Ph.D; in the field of "Semantic Web and Ontology", He is an active member of IEEE. He has published many research papers in various reputed journals/conferences. He has also completed "General Management Programme" from the Indian Institute of Management Ahmedabad (IIM-A). He is also a certified Network Trainer CCNI (Cisco Certified Network Trainer). He has conducted many training programs, some of them includes, Training program for the employees of Delhi Transco Limited (D.T.L), Indian postal department in Megdoot Bhawan, Delhi, and Directorate General Resettlement (DGR) is an Inter Service Organization functioning directly under the Ministry of Defence. (D.G.R). He has also written case study on "Online Retail in UAE: Driven to Grow" and "MODI'S VISIT TO UAE: UNCOVERING NEW AREAS OF COOPERATION "which are hosted by European Case Clearing House (ECCH), the case center, UK. Received award "Inquisitive Award", in Unanimity -2020, organized and hosted by Amity University Dubai, UAE. He has been awarded for Star Supporter Award 2019, which was presented by: Manzil Center, Sharjah, UAE. Her Highness Sheikha Chaica S. Al Qassimi and Dr. Ayesha Saeed Husaini, Director, Al Manzil Center, Sharjah, UAE, handed over the "Appreciation Certificate and Star Supporter Award 2019" to Amity University Dubai received by Vinod Kumar Shukla for the continuous support to community engagement and volunteerism. And he has received Memento for Amity University Dubai, from Mrs. Gloria Gangte, Deputy Chief of Mission, Embassy of India, Sultanate of Oman for Guidance Seminar 2016.

Inhaltsangabe

1 Introduction to edge
AI in healthcare 2 Edge
AI tools and techniques for healthcare 3 Edge
AI, Machine
Learning, and Deep
Learning Approaches for Healthcare 4 Transforming healthcare with machine
learning and deeplearning approaches 5 Enhancing access of the visually impaired through the smart cane 6 Contemporary role of edge
AI in IoT and IoE in healthcare and digital marketing 7 Authentication of edge
AI
based smart healthcare system: A review
based study 8 Automated Wheelchair for the Physically Challenged with AIoT Modules ¿9 Comparison of machine
learning and deep
learning algorithms for stroke prediction 10 Edge computing
based containerized deep
learning approach for intrusion detection in healthcare IoT 11 Human mental experience through chatbots: A thematical analysis of human engagement with evidence
based cognitive
behavioral techniques 12 An early diagnosis of cardiac disease using featureoptimization
based deep neural network 13 Super
resolution in a world of scarce resources for medical imaging applications 14 Legal and ethical implications of edge
AI
enabled IoT healthcare monitoring systems 15 The prospective role of artificial intelligence in the development dynamic of healthcare sectors 16 Edge
AI
empowered blockchain: A game
changer for the medical tourism industry 17 System for secure edge healthcare monitoring based on artificial intelligence