Digital Twin for Healthcare

Design, Challenges, and Solutions

Abdulmotaleb El Saddik

• Verlag: Academic Press
• Jahr: 2022
• ISBN:
  9780323950954
• Thema: Informatik
• Thema: Künstliche Intelligenz (KI) & Semantik

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 entity. When data is transmitted seamlessly, it bridges the physical and virtual worlds, thus allowing the virtual entity to exist simultaneously with the physical entity. A digital twin facilitates the means to understand, monitor, and optimize the functions of the physical entity and provide continuous feedback. It can be used to improve citizens' quality of life and wellbeing in smart cities and the virtualization of industrial processes.

• Presents the fundamentals of digital twin technology in healthcare
• Facilitates new approaches for healthcare industry
• Explores different use cases of digital twins in healthcare

Inhaltsverzeichnis

• Cover image
• Title page
• Table of Contents
• Copyright
• Contributors
• Chapter 1: Introduction
• Chapter 2: Underactuated digital twin's robotic hands with tactile sensing capabilities for well-being
• Chapter 3: Digital twin for healthcare immersive services: fundamentals, architectures, and open issues
• Chapter 4: Challenges of Digital Twin in healthcare
• Chapter 5: Intelligent digital twin reference architecture models for medical and healthcare industry
• Chapter 6: Artificial intelligence models in digital twins for health and well-being
• Chapter 7: COVIDMe: a digital twin for COVID-19 self-assessment and detection
• Chapter 8: Improving human living environment and human health through environmental digital twins technology
• Chapter 9: Role of smart technologies in detecting cognitive impairment and enhancing assisted living
• Chapter 10: Digital twins and cybersecurity in healthcare systems
• Chapter 11: Potential applications of digital twin in medical care
• Chapter 12: Digital twins for decision support system for clinicians and hospital to reduce error rate
• Chapter 13: Digital twin for cardiology
• Chapter 14: Applications of Digital Twins to migraine
• Chapter 15: Digital twins for nutrition
• Chapter 16: Digital twins for allergies
• Index