- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
In an era where healthcare innovation and technological advancement converge at unprecedented speed, the integration of intelligent manufacturing into medical device production represents one of the most promising frontiers in modern healthcare. Handbook of Smart Healthcare: Integrating Intelligent Manufacturing in Medical Device Production arrives at a critical juncture in the collective journey toward more efficient, precise, and patient-centered healthcare solutions.
This handbook explores the multifaceted landscape of intelligent manufacturing as it applies specifically to medical device production. From regulatory considerations unique to healthcare to the implementation of digital twins for virtual testing, from quality assurance protocols enhanced by machine learning to supply chain optimization through predictive analytics, this handbook provides comprehensive insights into both theoretical frameworks and practical applications.
Whether the reader is an engineer seeking to implement advanced manufacturing techniques, a healthcare administrator evaluating new technologies, a regulatory professional navigating compliance in an evolving landscape, or a student preparing to enter this dynamic field, this handbook will serve as an invaluable resource in their professional journey.
Contents
SECTION I: INTRODUCTION
Chapter 1 Green Materials and Energy-Efficient Manufacturing in Healthcare
Chapter 2 AI-Augmented Design and Rapid Prototyping of Medical Devices: Methods and Applications
Chapter 3 Digital Twin Technology for Intelligent Medical Device Engineering: A Comprehensive Study
Chapter 4 Digital Twins and Intelligent Manufacturing for Breast Cancer Devices: An IoT-Driven Review
SECTION II: ADVANCED TECHNOLOGIES
Chapter 5 Predictive Quality Control in Medical Device Production Using Machine Learning
Chapter 6 Closed-Loop Manufacturing with IoT and Embedded Sensor Systems: Architectures and Implementation
SECTION III: AI APPLICATION
Chapter 7 Artificial Intelligence for Cerebrovascular Bifurcation Identification: Advances in 3D Imaging and Classification
Chapter 8 Cybersecurity in Smart Healthcare Manufacturing Ecosystems: Risks and Mitigation Strategies
Chapter 9 Different Genomic Representations of Novel Pathogens Based on Signal Processing Algorithms with a Case Study on COVID-19
Chapter 10 Explainable AI and Trust in Medical Device Automation
SECTION IV: DIGITAL INFRASTRUCTURE
Chapter 11 Heterogeneous Data Aggregation in Distributed Systems Using JupyterHub Platform
Chapter 12 Blockchain and Digital Supply Chains for Medical Device Traceability
Chapter 13 Human-Centered Design for Assistive and Wearable Medical Technologies
Chapter 14 Smart Packaging and Cold Chain Logistics for Medical Products
SECTION V: CASE IMPLICATION & FUTURE DIRECTION
Chapter 15 AI-Driven Epidemic Forecasting: Smart Healthcare Engineering Approach and Case Studies for Public Health
Chapter 16 Interpretable Deep Transfer Learning Models for Breast Cancer Classification: Bridging Performance and Clinical Trust
Chapter 17 Case Studies on Scalable Smart Implant Manufacturing Using AI and Robotics
Chapter 18 Future Trends in Intelligent Medical Manufacturing and Healthcare Engineering
