Artificial Intelligence and Internet of Things
Applications in Smart Healthcare
- Available for pre-order. Item will ship after May 18, 2021
This book reveals the applications of AI and IoT in smart healthcare and medical systems. It also provides core principles, algorithms, protocols, emerging trends, security problems and their findings in e-healthcare services.
The book covers applications, provides case studies, and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role to assist patients, doctors and pharmaceutical staff. It also focuses on how AI and IoT could be used to keep patients safe, healthy and, at the same time, empower physicians to deliver superlative care.
This book is written for researches and practitioners working in sectors of information technology, computer science, products, and services of medical equipment manufacturing industry having basic and high-level AI and IoT applications. The book will also be a useful guide for researchers and students.
Table of Contents
PART 1: Artificial Intelligence Applications. Chapter 1: Diseases Diagnosis with AI Technologies. Chapter 2: AI in Bio-Pharmaceutical Development. Chapter 3: AI, Cloud-Based Digital Drug Discovery. Chapter 4: Real-Time Patient Flow Optimization. Chapter 5: Personalized Healthcare Plans with AI. Chapter 6: Mining and Managing Medical Data with AI. Chapter 7: AI Robot-Assisted Surgery. Chapter 8: A Massive Data Library for Personalized Health. Chapter 9: Virtual Reality-Enabled Robotics. Chapter 10: Improved Surgical Precision Using AI Techniques. PART 2: Internet of Things Applications. Chapter 11: Smart Health Monitoring Systems using IoT. Chapter 12: Ingestible Sensors for Health Monitoring. Chapter 13: Remote Monitoring systems Using IoT. Chapter 14: Data Security and Privacy Issues in IoT. Chapter 15: Internet-Enabled Infrastructures and Services. Chapter 16: Cloud Computing and Service Models for Smart City Solutions. Chapter 17: Smart Sensor-Based Networks and Applications. Chapter 18: Wearable Computing. Chapter 19: Remote Medical Assistance Using Cloud Services. Part 3: Case Study. Chapter 20: Case Study on Artificial Intelligence Applications. Chapter 21: Case Studies and Innovative Applications for Smart Healthcare.
Lalit Mohan Goyal received the B.Tech. (Hons.) in computer engineering from Kurukshetra University, Kurukshetra, the M.Tech. degree (Hons.) in information technology from Guru Gobind Singh Indraprastha University, New Delhi, and the Ph.D. degree in computer engineering from Jamia Millia Islamia, New Delhi. He has 16 years of teaching experience in the area of theory of computation, parallel and random algorithms, distributed data mining, and cloud computing. He is currently with the Department of Computer Engineering, J.C. Bose University of Science and Technology, YMCA, Faridabad, India. He is currently working on the project sponsored by the Indian Council of Medical Research, Delhi. He has published research papers in SCI indexed and Scopus indexed journals and conferences. He is a Reviewer of many reputed journals and conferences.
Tanzila Saba earned her PhD in document information security and management from Faculty of Computing, UniversitiTeknologi Malaysia (UTM), Malaysia in 2012. She won the best student award in the Faculty of Computing UTM for 2012. Currently, she is serving as an Associate Chair of Information Systems Department in the College of Computer and Information Sciences Prince Sultan University Riyadh KSA. Her primary research focus in recent years is Medical Imaging, Pattern Recognition, Data Mining, MRI analysis, and Soft-computing. She has above two hundred publications that have above 5000 citations with h-index 44. Her mostly publications are in biomedical research published in ISI/SCIE indexed. Due to her excellent research achievement, she is included in Marquis Who’s Who (S & T) 2012." Currently, she is an editor and reviewer of reputed journals and on the panel of TPC of international conferences. She has full command of a variety of subjects and taught several courses at the graduate and postgraduate levels. On the accreditation side, she is a skilled lady with ABET & NCAAA quality assurance. She is the senior member of IEEE. Dr.Tanzila is the leader of the Artificial Intelligence & Data Analytics Research Lab at PSU and active professional members of ACM, AIS and IAENG organizations. She is the PSU WiDS (Women in Data Science) ambassador at Stanford University and Global WomenTech Conference. She earned the Best Researcher award at PSU for consecutive 4 years. She has been nominated as a Research Professor at PSU since September 2019.
Amjad Rehman is a Senior Researcher in the Artificial Intelligence & Data Analytics Lab, Prince Sultan University, Riyadh, Saudi Arabia. He received his PhD & Postdoc from Faculty of Computing Universiti Teknologi Malaysia with specialization in Forensic Documents Analysis and Security with honor in 2010 and 2011 respectively. He received Rector award 2010 for best student in the university. Currently, he is PI in several funded projects and also completed projects funded from MOHE Malaysia, Saudi Arabia. His keen interests are in Data Mining, Health Informatics, Pattern Recognition. He is author of more than 200 ISI journal papers, conferences and is a senior member of IEEE with h-index 42.
Souad Larabi graduated in operational research from the University of Sciences and Technology Houari Boumediene, Algeria. She received the dual M.Sc. degrees in mathematics, decision and organization from Paris Dauphine University, France, and in computing and applications from Sorbonne Paris1 University, France, and the Ph.D. degree in bio-inspired algorithms (Artiﬁcial Intelligence) from the Computer Science Department, Toulouse1 University Capitole, France, in 2011. She was an Assistant Professor with the College of Computer and Information Sciences, King Saud University. She was also an Associate Researcher with the Department of Computer Science, Toulouse1 Capitole University, France. She is currently an Assistant Professor with the Department of Computer Science, Associate Director of Software Engineering and Cyber Security Master Programs, and Vice-Chair of the ACM Professional Chapter at Prince Sultan University. She has written several articles and has attended various specialized international conferences. She has also participated in several research projects. Her research interests include Combinatorial Optimization, Metaheuristics, Artiﬁcial Intelligence and especially bio-inspired algorithms applied to multidisciplinary domains, Algorithms Analysis and Design, Bioinformatics, Data Mining, Machine and Deep Learning, Biometric identiﬁcation, and Natural Language Processing, and Software Engineering.