DIGITAL TWIN FOR HEALTHCARE : design, challenges and solutions.

Digital Twins for Healthcare: Design, Challenges and Solutions establishes the state-of-art in the specification, design, creation, deployment and exploitation of digital twins' technologies for healthcare and wellbeing. A digital twin is a digital replication of a living or non-living physical...

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Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Format:	eBook
Language:	English
Published:	[S.l.] : ELSEVIER ACADEMIC PRESS, 2022.
Subjects:	Virtual reality in medicine. Computer vision in medicine. Medical care > Computer simulation. Digital twins (Computer simulation) Artificial intelligence. Biological models. Patient-Specific Modeling Artificial Intelligence Models, Biological Computer Simulation Réalité virtuelle en médecine. Vision par ordinateur en médecine. Soins médicaux > Simulation par ordinateur. Intelligence artificielle. Modèles biologiques. artificial intelligence. Computer vision in medicine Virtual reality in medicine Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Intro
Title page
Table of Contents
Copyright
Contributors
Chapter 1: Introduction
Abstract
1.1. History of digital twin
1.2. Elements of changes
1.3. The convergence of technologies
1.4. DT characteristics
1.5. Identify opportunities
References
Chapter 2: Underactuated digital twin's robotic hands with tactile sensing capabilities for well-being
Abstract
2.1. Introduction and background
2.2. Humanoid robots
2.3. Additive manufacturing of robotic hands
2.4. Underactuated designs
2.5. Temperature sensors
2.6. Pressure sensors
2.7. Discussion
2.8. Conclusion
References
Chapter 3: Digital twin for healthcare immersive services: fundamentals, architectures, and open issues
Abstract
3.1. Introduction
3.2. Fundamentals of DT and XR
3.3. XR-DT-based system for healthcare requirements
3.4. XR-DT for healthcare architecture: emerging paradigms
3.5. Open issues
3.6. Learned lessons
3.7. Conclusion
References
Chapter 4: Challenges of Digital Twin in healthcare
Abstract
4.1. Introduction
4.2. Representation
4.3. Sensing/actuating
4.4. Connectivity
4.5. Security, privacy, and ethical issues
References
Chapter 5: Intelligent digital twin reference architecture models for medical and healthcare industry
Abstract
5.1. Introduction
5.2. Related work
5.3. Challenges
5.4. Digital twins models
5.5. DT architecture models
5.6. Case study: automatic remote surgeon using robot, DT and VR
5.7. Future direction
References
Chapter 6: Artificial intelligence models in digital twins for health and well-being
Abstract
6.1. Background and introduction
6.2. AI in DT models
6.3. Types of AI models in DT for health
6.4. Discussion
6.5. Conclusion
References.
Chapter 7: COVIDMe: a digital twin for COVID-19 self-assessment and detection
Abstract
7.1. Introduction
7.2. Computer-aided diagnosis
7.3. Digital twin
7.4. COVIDMe and the spread of COVID-19
7.5. An overview of the COVIDMe software architecture
7.6. Discussion and future work
7.7. Conclusions
References
Chapter 8: Improving human living environment and human health through environmental digital twins technology
Abstract
8.1. Introduction
8.2. Parameter identification and uncertainty estimation of the DTs model for central air-conditioning
8.3. Results and discussion
8.4. Conclusion
References
Chapter 9: Role of smart technologies in detecting cognitive impairment and enhancing assisted living
Abstract
Acknowledgements
9.1. Introduction
9.2. Mild cognitive impairment (MCI) detection
9.3. Providing assisted living
9.4. Conclusion
References
Chapter 10: Digital twins and cybersecurity in healthcare systems
Abstract
10.1. Introduction
10.2. Digital twin opportunities in cyber security
10.3. Digital twin cyber security framework
10.4. Digital twin privacy framework
10.5. Digital twins compliance with standards and governance
10.6. Conclusion
References
Chapter 11: Potential applications of digital twin in medical care
Abstract
11.1. Foundations for potential applications of digital twins in medical care
11.2. Applications of digital twin in medical care: state of the art
11.3. Future applications of digital twin in medical care
References
Chapter 12: Digital twins for decision support system for clinicians and hospital to reduce error rate
Abstract
12.1. Introduction to digital twin decision support system for reducing errors in hospitals
12.2. Why we need the digital twin system to reduce errors in hospitals.
12.3. What is digital twin for decision support system to reduce errors
12.4. Digital twin platform for decision support system to reduce errors
12.5. Digital twin system deployment, evaluation and operational consideration
12.6. Digital twin for decision support system challenges
12.7. Example case studies
DSS
12.8. Conclusion
References
Chapter 13: Digital twin for cardiology
Abstract
Acknowledgements
13.1. Introduction to digital twin for cardiology
13.2. Digital twins to challenge heart disease
13.3. Digital twin for cardiology futures
13.4. Conclusion
References
Chapter 14: Applications of Digital Twins to migraine
Abstract
Acknowledgement
14.1. Introduction
14.2. Migraine disease
14.3. Digital Twins technology: definitions, required technologies and applications
14.4. Applications of Digital Twins Technology to migraine disease
14.5. Digital Twin solutions for migraine disease
14.6. Discussion
14.7. Conclusion
References
Chapter 15: Digital twins for nutrition
Abstract
Acknowledgement
15.1. Introduction
15.2. Related work
15.3. Research methodology
15.4. Documentation on DT and nutrition
15.5. Ecosystem of the digital twin for nutrition
15.6. Case study: hair loss
15.7. Discussion
15.8. Conclusion
Clearly the lessons learned
References
Chapter 16: Digital twins for allergies
Abstract
Acknowledgement
16.1. Introduction
16.2. Related works
16.3. Ecosystem of the DT for allergy disease
16.4. Case study: anaphylaxis shocks
16.5. Discussion
16.6. Conclusion
Clearly the lessons learned
References
Index.