Handbook of Smart Healthcare

Section I: Introduction. 1. Green Materials and Energy-Efficient Manufacturing in Healthcare. 2. AI-Augmented Design and Rapid Prototyping of Medical Devices: Methods and Applications. 3. Digital Twin Technology for Intelligent Medical Device Engineering: A Comprehensive Study. 4. Digital Twins and Intelligent Manufacturing for Breast Cancer Devices: An IoT-Driven Review. Section II: Advanced Technologies. 5. Predictive Quality Control in Medical Device Production Using Machine Learning. 6. Closed-Loop Manufacturing with IoT and Embedded Sensor Systems: Architectures and Implementation. Section III: AI Application. 7. Recent Advances in AI-Based Classification and Identification of Cerebrovascular Bifurcations in 3D Medical Imaging: A Comprehensive Review. 8. Cybersecurity in Smart Healthcare Manufacturing Ecosystems: Risks and Mitigation Strategies. 9. Different Genomic Representations of Novel Pathogens Based on Signal-Processing Algorithms with a Case Study on COVID-19. 10. Explainable AI and Trust in Medical Device Automation. Section IV: Digital Infrastructure. 11. Heterogeneous Data Aggregation in Distributed Systems Using JupyterHub Platform. 12. Blockchain and Digital Supply Chains for Medical Device Traceability. 13. Human-Centered Design for Assistive and Wearable Medical Technologies. 14. Smart Packaging and Cold Chain Logistics for Medical Products. Section V: Case Implication and Future Direction. 15. AI-Driven Epidemic Forecasting: Smart Healthcare Engineering Approach and Case Studies for Public Health. 16. Interpretable Deep Transfer Learning Models for Breast Cancer Classification: Bridging Performance and Clinical Trust. 17. Case Studies on Scalable Smart Implant Manufacturing Using AI and Robotics. 18. Future Trends in Intelligent Medical Manufacturing and Healthcare Engineering.