Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems.
Features
Provides knowledge of AI-empowered telehealth systems for efficient healthcare servicesDiscusses novel innovations in telehealth using AI techniques Covers emerging tools and techniques in smart health systems Highlights remote diagnosis of patients Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services Shines a light on future trends in AI-enabled telehealth systems
Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.
Dr. Sonali Vyas has served as an academician and researcher for over 13 years. Currently, she is working as an Associate Professor at the University of Petroleum and Energy Studies, Uttarakhand. She is a professional member of Senior Member-IEEE, ACM-India, CSI, IFERP, IAENG, ISOC, SCRS and IJERT. She has been awarded the "National Distinguished Educator Award 2021", by the International Institute of organized Research (I2OR) which is a registered MSME, Government of India". She was also awarded the "Best Academician of the Year Award (Female)" in "Global Education and Corporate Leadership (GECL-2018)". Dr. Vyas has authored and edited many books with renowned publishers. She has published many research papers, articles, and chapters in refereed journals, conference proceedings, and patents. She has also been a member of the Organizing Committee, National Advisory Board, and Technical Program Committee for many international and national conferences, as well as chaired sessions. Her research interests include Healthcare Informatics, Blockchain, Database Virtualization, Data Mining, and Big Data Analytics.
Dr. Sunil Gupta has over more than twenty years of experience in teaching, research, and industry in the field of Computer science and Engineering. He is an active member of IEEE Society, Computer Society of India, Member, Computer Science Teacher Association, Life Member, International Association of Engineers, Member, International Association of Computer Science and Information Technology, Member, and Internet Society (ISOC). He has conducted various workshops, conferences, and FDP. He has authored sixty-nine research papers, two textbooks, and has six patents to his credit. He has also acted as a reviewer of International Journals and is a member of the Scientific Committee and Editorial Review Board on Engineering and Physical Sciences for the World Academy of Science, Engineering and Technology.
Dr. Monit Kapoor is an academician and a researcher with a cumulative work experience of twenty-four years and is currently guiding six Ph.D. scholars in various research areas. He has more than 30 journal publications, books and filed four patents/copyrights in the area of IOMT, Blockchain and Health Care. He currently works as a Professor in the Department of CSE at Chitkara University, Punjab, India, and has been voted among the Top 50 tech-savvy academicians in India by Ulektz in the year 2019. Dr. Kapoor closely works with the government of India, the Ministry of Electronics, and IT for proposing Mobile Device Security Standards. He has been in TPC of multiple international conferences and serves as a reviewer for SCI and Scopus indexed journals. He has been session chair in many reputed international conferences and has delivered many invited talks and workshops. His research interests are in the area of Machine Learning, Adhoc and Sensor Networks, UAV Networks, Speech Processing, and Artificial Intelligence.
Dr Samiya Khan is an alumna of University of Delhi, India and did her PhD in Computer Science from Jamia Millia Islamia, India. She is currently working as Lecturer in Computer Science at University of Greenwich, United Kingdom. Previously, she served as a postdoctoral research fellow at University of Wolverhampton, United Kingdom. She has contributed more than 20 research papers and her publications extend across journal articles and book chapters in high impact publications of international repute. She has also presented her research at reputed international conferences. She has served as Associate Editor, Scientific India Magazine and reviewer for many reputed journals and conferences. Besides this, she has authored a book entitled 'Big Data and Analytics' and co-edited many books including 'Internet of Things (IoT): Concepts and Applications' published by Springer Nature, Switzerland and 'Extended Reality for Healthcare Systems: Recent Advances in Contemporary Research' published by Elsevier. Samiya's expertise spans across data science, Artificial Intelligence, edge computing and the Internet of Things (IoT) with experience in development of heterogeneous systems.
