Health 5.0 : Concepts, Challenges, and Solutions (Hardcover)

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.