Full Description
This book presents a detailed explanation of the concepts, taxonomy, and challenges in Healthcare 4.0 and provides frameworks and architectures for the adaptation and fusion of emerging technologies under Healthcare 5.0. The healthcare industry requires technological upgrades to provide precise, accurate, and automatic remote health monitoring and diagnosis. This reference book offers an early opportunity to explore emerging technologies and understand current issues, problems, and concepts.
Health 5.0: Concepts, Challenges, and Solutions provides state-of-the-art research topics and opportunities of IoMT in personalized healthcare. It presents diversified IoMT applications for smart healthcare that supports lifestyle changes as a preventive measure and discusses health and care for all citizens to lead a good quality of life. The book illustrates the advancements of IoMT in augmented reality and AI and offers use-cases of edge computing for remote healthcare. The book also highlights the architectures, frameworks, and current research issues in IoMT and goes on to focus on sustainable healthcare for smart cities using edge computing, IoMT, and big data. The details of the development of advanced therapeutic instrumentation, along with the promotion of digital therapy, are also provided.
The primary audience for this book includes academicians, researcher scholars, IoMT developers, cloud-based health application designers, and medical practitioners who are engaged in providing healthcare services using recent technologies.
Contents
Introduction. Part I: The Conventional Medicare, Health 5.0, and Next-Generation Internet of Medical Things (IoMT). 1. The History, Concepts, and Conventional Medicare Technologies. 2. Recent Advancements and Issues in Health 5.0. 3. Smart healthcare and IoMT: Best practices and perspectives of AI and ML. Part II: Intelligent IoMT and New Age Computing: Principles and Perspective with AI and Edge Computing. 4. Issues and Challenges of Intelligent IoMT for Edge Computing. 5. Data Generation, Storage, and Processing of IoMT Healthcare Data in Edge Computing. 6. Advancements of IoMT and AI for Advancement of Health Monitoring. Part III: IoMT Frameworks and Architectures for Artificial Intelligence (AI) in Augmented Reality. 7. AI-Enabled IoMT Frameworks for Automated Health Diagnosis. 8. AI-enabled Mobile Cloud-based Federated IoMT Architecture for Ambient Assisted Healthy Living. 9. Symptom-Based Real-Time Augmented Pattern Detection and Recognition for Healthy Living. Part IV: AI-Enabled Smart Models and Algorithms for IoMT Augmented Data Analysis. 10. Open CV Algorithm for IoMT-Based Patient Emotion Pattern Analysis. 11. Explainable AI Algorithms for Augmented Healthcare Hybridization. 12. Optimized Predictive Algorithms for Augmented Intelligence in Personalized e-health. Part V: IoMT Applications and its Future Trends for AI, Augmented Reality, and Edge Computing. 13. Sentiment analysis and Social Media Analysis for IoMT-Enabled Data. 14. Deep Learning for Augmented Medical Image Dara Analysis.
