Digital Twin Technologies for Healthcare 4.0

In healthcare, a digital twin is a digital representation of a patient or healthcare system using integrated simulations and service data. The digital twin tracks a patient's records, crosschecks them against registered patterns and analyses any diseases or contra indications. The digital twin...

Full description

Saved in:
Bibliographic Details
Main Authors Dhanaraj, Rajesh Kumar, Murugesan, Santhiya, Balusamy, Balamurugan, Balas, Valentina E
Format eBook
LanguageEnglish
Published Stevenage The Institution of Engineering and Technology 2022
Institution of Engineering and Technology (The IET)
Institution of Engineering and Technology
SeriesHealthcare Technologies Series
Subjects
Artificial intelligence
COMPUTERS
Digital twins (Computer simulation)
General Engineering & Project Administration
General References
Health systems & services
Intelligence (AI) & Semantics
Medical telematics
Software Engineering
Online AccessGet full text
ISBN9781839535796
1839535792
DOI10.1049/PBHE046E

Cover

Table of Contents:
  • Chapter 1: Introduction: digital twin technology in healthcare -- Chapter 2: Convergence of Digital Twin, AI, IOT, and machine learning techniques for medical diagnostics -- Chapter 3: Application of digital twin technology in model-based systems engineering -- Chapter 4: Digital twins in e-health: adoption of technology and challenges in the management of clinical systems -- Chapter 5: Digital twin and big data in healthcare systems -- Chapter 6: Digital twin data visualization techniques -- Chapter 7: Healthcare cyberspace: medical cyber physical system in digital twin -- Chapter 8: Cloud security-enabled digital twin in e-healthcare -- Chapter 9: Digital twin in prognostics and health management system -- Chapter 10: Deep learning in Covid-19 detection and diagnosis using CXR images: challenges and perspectives -- Chapter 11: Case study: digital twin in cardiology
  • Title Page Table of Contents 1. Introduction: Digital Twin Technology in Healthcare 2. Convergence of Digital Twin, AI, IOT, and Machine Learning Techniques for Medical Diagnostics 3. Application of Digital Twin Technology in Model-Based Systems Engineering 4. Digital Twins in E-Health: Adoption of Technology and Challenges in the Management of Clinical Systems 5. Digital Twin and Big Data in Healthcare Systems 6. Digital Twin Data Visualization Techniques 7. Healthcare Cyberspace: Medical Cyber Physical System in Digital Twin 8. Cloud Security-Enabled Digital Twin in E-Healthcare 9. Digital Twin in Prognostics and Health Management System 10. Deep Learning in Covid-19 Detection and Diagnosis Using CXR Images: Challenges and Perspectives 11. Case Study: Digital Twin in Cardiology Index