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Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals
Amit Kumar Tyagi (Edited by), Tyagi (Author)
9781394287390, Wiley
Hardback, published 17 September 2024
496 pages
25 x 15 x 1.5 cm, 1.225 kg
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.
Preface xix Part 1: Basic Fundamentals and Principles 1 1 Introduction to Smart Hospital 3 2 Wireless Medical Sensor Networks in Smart Hospitals 19 3 Introduction of DNA Computing in Cryptography 39 Part 2: Methods and Applications 61 4 Enhancing Diabetic Retinopathy and Glaucoma Diagnosis through Efficient Retinal Vessel Segmentation and Disease Classification 63 5 Machine Learning–Enabled Digital Twins for Diagnostic and Therapeutic Purposes 77 6 Blockchain as the Backbone of a Connected Ecosystem of Smart Hospitals 99 7 Blockchain for Edge Association in Digital Twin Empowered 6G Networks 123 8 Blockchain for Security and Privacy in the Smart Healthcare 153 9 Conceptual and Empirical Evidence for the Implementation of Blockchain Technology as a Solution for Healthcare Service Providers in India 179 10 Blockchain-Enabled Internet of Things (IoTs) Platforms for IoT-Based Healthcare and Biomedical Sectors 201 11 Electronic Health Records in a Blockchain 219 12 A PSO-Based Hybrid Cardiovascular Disease Prediction for Using Artificial Flora Algorithm 231 13 AI and Transfer Learning–Based Framework for Efficient Classification and Detection of Lyme Disease 245 14 Framework for Gender Detection Using Facial Countenances 269 Part 3: Issues and Challenges 287 15 Unveiling the Challenges and Limitations in COVID-19 Health Data Prediction with Convolutional Neural Networks: A Data Science Research Perspective 289 Part 4: Future Opportunities 309 16 Cloud-Based Digital Twinning for Structural Health Monitoring Using Deep Learning 311 17 Smartphone-Based Sensors for Biomedical Applications 327 18 Blockchain for Improving Security and Privacy in the Smart Sensor Network 347 19 Sensors and Digital Twin Application in Healthcare Facilities Management 369 20 Integration of Internet of Medical Things (IoMT) with Blockchain Technology to Improve Security and Privacy 391 21 Advancing Healthcare Diagnostics: Machine Learning–Driven Digital Twins for Precise Brain Tumor and Breast Cancer Assessment 413 22 Digital Twin Applications in Healthcare Facilities Management 435 23 Ethical and Technological Convergence: AI and Blockchain in Halal Healthcare 451 Index 467
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md Mahfujur Rahman
Subject Areas: Computer science [UY]
