Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals

Amit Kumar Tyagi

• Publisher: Wiley-Scrivener
• Year: 2024
• Print ISBN: 9781394287390
• eBook ISBN: 9781394287406
• Edition: 1
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

The book uniquely explores the fundamentals of blockchain and digital twin and their uses in smart hospitals.

Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals provides fundamental information on blockchain and digital twin technology as effective solutions in smart hospitals. Digital twin technology enables the creation of real-time virtual replicas of hospital assets and patients, enhancing predictive maintenance, operational efficiency, and patient care. Blockchain technology provides a secure and transparent platform for managing and sharing sensitive data, such as medical records and pharmaceutical supply chains. By combining these technologies, smart hospitals can ensure data security, interoperability, and streamlined operations while providing patient-centered care. The book also explores the impact of collected medical data from real-time systems in smart hospitals, and by making it accessible to all doctors via a smartphone or mobile device for fast decisions.

Inevitable challenges such as privacy concerns and integration costs must, of course, be addressed. However, the potential benefits in terms of improved healthcare quality, reduced costs, and global health initiatives makes the integration of these technologies a compelling avenue for the future of healthcare.

Some of the topics that readers will find in this book include:

Wireless Medical Sensor Networks in Smart Hospitals ? DNA Computing in Cryptography ? Enhancing Diabetic Retinopathy and Glaucoma Diagnosis through Efficient Retinal Vessel Segmentation and Disease Classification ? Machine Learning-Enabled Digital Twins for Diagnostic And Therapeutic Purposes ? Blockchain as the Backbone of a Connected Ecosystem of Smart Hospitals ? Blockchain for Edge Association in Digital Twin Empowered 6G Networks ? Blockchain for Security and Privacy in Smart Healthcare ? Blockchain-Enabled Internet of Things (IoTs) Platforms for IoT-Based Healthcare and Biomedical Sector ? Electronic Health Records in a Blockchain ? PSO-Based Hybrid Cardiovascular Disease Prediction for Using Artificial Flora Algorithm ? AI and Transfer Learning Based Framework for Efficient Classification And Detection Of Lyme Disease ? Framework for Gender Detection Using Facial Countenances ? Smartphone-Based Sensors for Biomedical Applications ? Blockchain for Improving Security and Privacy in the Smart Sensor Network ? Sensors and Digital Twin Application in Healthcare Facilities Management ? Integration of Internet of Medical Things (IoMT) with Blockchain Technology to Improve Security and Privacy ? Machine Learning-Driven Digital Twins for Precise Brain Tumor and Breast Cancer Assessment ? Ethical and Technological Convergence: AI and Blockchain in Halal Healthcare ? Digital Twin Application in Healthcare Facilities Management ? Cloud-based Digital Twinning for Structural Health Monitoring Using Deep Learning.

Audience
The book will be read by hospital and healthcare providers, administrators, policymakers, scientists and engineers in artificial intelligence, information technology, electronics engineering, and related disciplines.

Table of contents

• Cover
• Table of content
• Series Page
• Title Page
• Copyright Page
• Preface
• Part 1: Basic Fundamentals and Principles
• 1 Introduction to Smart Hospital
• 2 Wireless Medical Sensor Networks in Smart Hospitals
• 3 Introduction of DNA Computing in Cryptography
• Part 2: Methods and Applications
• 4 Enhancing Diabetic Retinopathy and Glaucoma Diagnosis through Efficient Retinal Vessel Segmentation and Disease Classification
• 5 Machine Learning–Enabled Digital Twins for Diagnostic and Therapeutic Purposes
• 6 Blockchain as the Backbone of a Connected Ecosystem of Smart Hospitals
• 7 Blockchain for Edge Association in Digital Twin Empowered 6G Networks
• 8 Blockchain for Security and Privacy in the Smart Healthcare
• 9 Conceptual and Empirical Evidence for the Implementation of Blockchain Technology as a Solution for Healthcare Service Providers in India
• 10 Blockchain-Enabled Internet of Things (IoTs) Platforms for IoT-Based Healthcare and Biomedical Sectors
• 11 Electronic Health Records in a Blockchain
• 12 A PSO-Based Hybrid Cardiovascular Disease Prediction for Using Artificial Flora Algorithm
• 13 AI and Transfer Learning–Based Framework for Efficient Classification and Detection of Lyme Disease
• 14 Framework for Gender Detection Using Facial Countenances
• Part 3: Issues and Challenges
• 15 Unveiling the Challenges and Limitations in COVID-19 Health Data Prediction with Convolutional Neural Networks: A Data Science Research Perspective
• Part 4: Future Opportunities
• 16 Cloud-Based Digital Twinning for Structural Health Monitoring Using Deep Learning
• 17 Smartphone-Based Sensors for Biomedical Applications
• 18 Blockchain for Improving Security and Privacy in the Smart Sensor Network
• 19 Sensors and Digital Twin Application in Healthcare Facilities Management
• 20 Integration of Internet of Medical Things (IoMT) with Blockchain Technology to Improve Security and Privacy
• 21 Advancing Healthcare Diagnostics: Machine Learning–Driven Digital Twins for Precise Brain Tumor and Breast Cancer Assessment
• 22 Digital Twin Applications in Healthcare Facilities Management
• 23 Ethical and Technological Convergence: AI and Blockchain in Halal Healthcare
• Index
• End User License Agreement