In recent years, the application of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in smart healthcare has been increasing. We are approaching a world where connected smart devices tell people when they need to visit a doctor because these devices will be able to detect health problems and discover symptoms of illness that may need medical care. AI-collaborative IoT technologies can help medical professionals with decision-making. These technologies can also help develop a sustainable and smart healthcare system.
AI and IoT Technology and Applications for Smart Healthcare Systems
helps readers understand complex scientific topics in a simple and accessible way. It introduces the world of AI-collaborative IoT physics, explaining how this technology behaves at the smallest level and how this can revolutionize healthcare. The book shows how IoT technology and AI can work together to make computers more powerful and capable of solving complex problems in the healthcare sector. Exploring the effect of AI-collaborative technology on IoT technologies, the book discusses how IoT can benefit from AI algorithms to enable machines to learn, make decisions, and process information more efficiently. Because smart machines create more perceptive devices and systems, the application of this technology raises important ethical questions about privacy, security, and the responsible development of healthcare IoT technology, which this book covers. The book also provides insight into the potential applications of these technologies not only in the healthcare industry but also in related fields, such as smart transportation, smart manufacturing, and smart cities.
Covering, methodologies, technologies, approaches, models, frameworks, theory, and practice, this book examines how to meet the challenges associated with applying AI-collaborative IoT technology as well as Big Data in the design and implementation of advanced infrastructure for the smart healthcare system.
1. The Era of Digital Healthcare System and Its Impact on Human Psychology
2. Factors Influencing Mental Health and Role of Artificial Intelligence (AI) in the Era of Climate Change
3. Role of IoT and AI in Sustainable Management of the Pharmaceutical Industry
4. AI-Integrated IoT in Healthcare Ecosystem Opportunities, Challenges and Future Directions
5. IoT-Based Classification of Covid-19 Using Feature Extraction and Hybrid Architectures of Convolutional Neural Network (CNN)
6. Revolutionizing Healthcare Delivery: Applications and Impact of Cutting-Edge Technologies
7. Utilizing Artificial Neural Networks (ANN) and Deep Learning (DL) in Extended Reality Environments for Addressing Psychological Issues
8. Augmented Reality (AR) and Virtual Reality (VR) Technologies in Surgical Operating System
9. Sensor Scheduling in an IoT Health Monitoring System with Interference Awareness
10. Cardiovascular Disease Detection Using Deep Learning and Nature-Inspired Optimization Algorithm
11. Internet of Things (IoT) Smart Wearable Sensors in Healthcare
12. Preventing Sepsis in ICU Analyzing Patients from Big Data using Tableau Application
13. Revolutionizing Healthcare with IoT: Connecting the Dots for Better Patient Outcomes
14. Diabetes and Machine Learning: A Mathematical Perspective
15. Disease Detection for Herbal Plant using ResNet Algorithm
16. Robotic in Real-Time Applications in Healthcare System
17. Healthcare Internet of Things (HIoT) Technologies and Implementation
18. Healthcare Data Analytics and Visualization Tools and Application
19. Applications of Internet of Things (IoT) Technologies in the fields of Business and Healthcare
20. Internet of Things (IoT) Case Studies and Application
21. Cybersecurity Infrastructure and Solutions for Healthcare System
22. Securing Internet of Things (IoT) Environment using Bio-Inspired Meta-Heuristic Methodologies
23. Internet of Things (IoT)-Based Technologies for Reliability Evaluation with Artificial Intelligence (AI)
Dr. Alex Khang, is a professor in information technology, D.Sc. D.Litt., AI and data scientist, software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. He has over 28 years of teaching and research experience in information technology at the Universities of Science and Technology in Vietnam, India, and USA. He has published 52 authored books (in computer science 2000-2010), 2 authored books (software development), and 20 book chapters. He has published 10 edited books, and 11 edited books (calling for book chapters) in the fields of AI ecosystem (AI, ML, DL, IoT, Robotics, Data science, Big data, and Quantum computing), smart city ecosystem, healthcare ecosystem, Fintech technology, and blockchain technology (since 2020). He has over 28 years of working experience as a software product manager, data engineer, AI engineer, cloud computing architect, solution architect, software architect, database expert in the foreign corporations of Germany, Sweden, the United States, Singapore, and multinationals (former CEO, former CTO, former Engineering Director, Product Manager, and Senior Software Production Consultant). ORCID: 0000-0001-8379-4659.
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