Digital Health Transformation with Blockchain and Artificial Intelligence

Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
Preface
Book Organization
About the Editor
Contributors
Chapter 1: Blockchain and Internet of Things in Healthcare Systems: Prospects, Issues, and Challenges
1.1 Introduction
1.2 Literature Review
1.3 Blockchain Technology and IoT
1.3.1 Features of Blockchain
1.3.2 The Internet of Things
1.3.3 Blockchain and IoT Technologies Integration in Healthcare
1.3.4 Digital Health Transformation Using AI
1.4 Challenges and Prospects of Using Blockchain and IoT in Healthcare
1.5 Proposed Framework
1.6 Conclusion
Conflict of Interest
Funding
Data Availability
References
Chapter 2: Secure Digital Health Data Management in Internet of Things Using Blockchain and Machine Learning
2.1 Introduction
2.2 Background and Related Work
2.3 Proposed Model
2.4 Methodology
2.5 Implementation and Data Analysis
2.6 Conclusion
2.7 Future Research Directions
Conflict of Interest
Funding
Data Availability
References
Chapter 3: Revolutionizing Healthcare by Coupling Unmanned Aerial Vehicles (UAVs) to Internet of Medical Things (IoMT)
3.1 Introduction
3.2 Wireless Communication Systems: A UAV Case
3.3 Revolutionizing Smart Healthcare
3.3.1 Rationale of Considering IoMT
3.3.1.1 Wellbeing and Early Detection
3.3.1.2 Patient Support
3.3.1.3 Improving Professional Medical Services
3.3.1.4 Data Analytics
3.3.2 IoMT Overview and Architecture
3.3.3 IoMT Wide Application
3.4 Trends and Smart Healthcare of IoMT-Enabled UAVs
3.5 Conclusion
References
Chapter 4: Public Perception toward AI-Driven Healthcare and the Way Forward in the Post-Pandemic Era
4.1 Introduction
4.2 Literature Review
4.2.1 Research Gap
4.2.1.1 Research Variables
4.2.2 Research Objectives
4.2.3 Methodology
4.2.3.1 Sampling
4.2.4 Data Analysis
4.3 Discussion
4.4 Conclusion
4.5 Future Scope
References
Chapter 5: Security, Privacy Issues, and Challenges in Adoption of Smart Digital Healthcare
5.1 Introduction
5.1.1 Smart Healthcare System Associate Technologies
5.1.2 Smart Healthcare Planning: Essentials, Elements and Features
5.1.3 IoT Enables Smart Healthcare System
5.2 Literature Survey
5.3 Security and Privacy Challenges in Smart Healthcare
5.4 Problem Statement
5.5 Proposed Methodology
5.6 Implementation
5.6.1 Recommendations for the Development of Smart Contract and Their Cooperation with Smart Medical System
5.7 Conclusion
References
Chapter 6: Tapping the Big Data Analytics and IoT in the Pandemic Era
6.1 Introduction
6.2 Connecting Big Data and IoT to Digital Health
6.2.1 The Big Data Analytics BDA Support
6.2.2 IoT Support: Sensing Systems That Collect Data
6.3 Building Resilience using Big Data Analytics and IoT in Pandemic Conditions
6.4 Fighting Pandemic using Big Data Analytics
6.5 Collecting Big Data Analytics in Healthcare during a Pandemic
6.6 Exploratory Study
6.6.1 Introduction
6.6.2 Applications of Artificial Intelligence and Machine Learning in the Medical Sector
6.6.3 Implications of AI and ML in Social and Information Science
6.6.4 The Possible Uses of IoT
6.6.5 The Risks that can arise while using these Intelligent Equipment and Techniques
6.7 Drive through the Future: IoT to IoMT
6.7.1 Medical IoT
6.7.2 IoT to Dissect an Outbreak
6.7.3 Protocols for Preventive Containment
6.7.4 Upgrades in Connectivity Eternity
6.7.5 Consultations in M-health
6.7.6 The Advent of the Robotics
6.8 Conclusion
Conflict of Interest
Funding
Data Availability
References
Chapter 7: The Clinical Challenges for Digital Health Revolution
7.1 Introduction
7.2 History of Digital Health
7.3 Digital Health and the Healthcare Professionals
7.4 Digital Health Revolution
7.5 Challenges in Digital Health
7.5.1 Multidisciplinary Collaboration
7.5.2 Dissociated Technological, Institutional and Regulatory Frameworks
7.5.3 Data Governance
7.5.4 Economic and Financial Considerations
7.5.5 Cultural, Social and Local Infrastructure Issues
7.5.6 Human Rights, Ethical and Policy Challenges
7.5.6.1 Security and Confidentiality of Data
7.5.6.2 Trust
7.5.6.3 Accountability
7.5.7 COVID-19 Challenges and Digital Health
7.5.7.1 Digital Health and COVID-19, Community Health Reactions
7.5.7.2 Digital Communication During the Pandemic
7.5.7.3 Digital Data to Classical COVID-19 Blowout, Progression and Awareness
7.6 Future Research
7.7 Conclusion
Conflict of Interest
Funding
Data Availability
References
Chapter 8: An Overview of Artificial Intelligence for Advanced Healthcare Systems
8.1 Introduction
8.2 Subdomain-based AI Applications in Healthcare Systems
8.2.1 Machine Learning
8.2.2 Deep Learning
8.2.3 Natural Language Processing
8.2.4 Rule-based Expert Systems
8.2.5 Robotics
8.3 Areas of Applicability of AI
8.3.1 Administrative Level Applications
8.3.2 Diagnostic Support
8.3.3 Other Application Areas
8.4 Combinational Applications of AI
8.4.1 Artificial Intelligence for IoT-based Healthcare Application
8.4.2 Blockchain for AI in Healthcare Applications
8.4.3 Other Major Combination Applications of AI
8.5 Discussions
8.6 Conclusion
8.7 Future Scope
References
Chapter 9: Future Trajectory of Healthcare with Artificial Intelligence
9.1 Introduction
9.1.1 Overview of AI in Healthcare
9.1.2 Machine Learning (ML) in Healthcare
9.1.3 Deep Learning (DL) in Healthcare
9.1.4 Real-Time Health Monitoring
9.2 Role of AI in Robotic Surgery, Cancer Diagnosis and BCI
9.2.1 Role of AI in Robotic Surgery
9.2.2 Pre-operative Planning
9.2.3 Intra-Operative Guidance
9.2.4 Surgical Robots
9.2.5 Role of AI in Cancer Diagnosis
9.2.6 Role of AI in Brain Computer Interface
9.3 Role of AI in Maintaining the Patient Database
9.3.1 Overview of Electronic Health Record
9.3.2 Technologies Involved in EHR
9.3.3 Tools Used in EHR
9.3.4 Security in EHR
9.3.5 m-Health in EHR
9.4 Conclusion
Conflict of Interest
Funding
Data Availability
References
Chapter 10: Artificial Intelligence and Public Trust on Smart Healthcare Systems
10.1 Introduction
10.2 Literature Review
10.2.1 Artificial Intelligence
10.2.2 AI in Healthcare
10.2.3 Antecedents of Trust
10.2.4 AI-Empowered Healthcare’s Expertise and Public Trust
10.2.5 AI-Empowered Healthcare’s Performance and Public Trust
10.2.6 AI-Empowered Healthcare’s Reputation and Public Trust
10.2.7 AI-Empowered Healthcare’s Integrity and Public Trust
10.2.8 AI-Empowered Healthcare’s Benevolence and Public Trust
10.3 Research Method
10.3.1 Sampling Technique
10.3.2 Data Collection
10.3.3 Data Analysis
10.4 Results
10.4.1 Exploratory Factor Analysis
10.4.2 Indicators of Model Fit for Measurement Model
10.4.3 Construct Validity
10.4.4 Results of Path Analysis
10.5 Conclusion
Conflict of Interest
Funding
Data Availability
References
Chapter 11: Role of Artificial Intelligence-Based Technologies in Healthcare to Combat Critical Diseases
11.1 Introduction
11.2 What AI Can Do for Health
11.2.1 Prevention and Diagnosis Using AI
11.2.2 Monitoring and Detection of Diseases
11.2.2.1 Detection of Cancer
11.3 Role of Medical Imaging and Deep Learning
11.4 Role of Machine Learning (ML)
11.5 Digital Health Transformation Using AI
11.6 Digital Health Transformation Using Blockchain
11.7 AI Applications for COVID-19
11.8 Industrial Innovation in the Field of AI
11.8.1 Types of Commercial-based AI technologies
11.9 Challenges and Future Outlooks
11.10 Conclusion
Conflict of Interest
Funding
Data Availability
References
Chapter 12: Parkinson’s Disease Pre-Diagnosis Using Smart Technologies: A Review
12.1 Introduction
12.2 Parkinson’s Disease Symptoms
12.3 Diagnosis Markers
12.3.1 Voice Markers
12.3.2 Drawing Markers
12.3.3 Keyboard Tapping Markers
12.3.4 Gait Markers
12.3.5 Multi-Marker Approaches
12.4 Discussions
12.4.1 Recommendations for Future Works
12.5 Conclusion
Conflict of Interest
Funding
Data Availability
References
Chapter 13: Emerging Technologies to Combat the COVID-19 Pandemic
13.1 Introduction
13.2 COVID-19 Preventive Measures
13.3 Smart Healthcare and New Technologies
13.3.1 Telemedicine Facing COVID-19
13.3.2 Internet of Things in Healthcare
13.3.3 Drone Technology
13.3.4 Robotics Technology
13.3.5 Mobile Applications
13.3.6 Artificial Intelligence (AI)
13.4 Conclusion and Discussion
Conflict of Interest
Funding
Data Availability
References
Chapter 14: The Role of Machine Learning and Internet of Things in Digital Health Transformation
14.1 Introduction
14.2 IoT and ML Applications for SC
14.2.1 Environmental Monitoring
14.2.2 Smart Parking
14.2.3 Traffic Monitoring
14.2.4 Smart Education
14.2.5 Smart Health
14.2.6 Smart Buildings
14.2.7 Smart Agriculture
14.3 IoT Challenges in SC
14.4 Secured SCs
14.5 Conclusion
14.5.1 Future Scope
References
Chapter 15: Effective Remote Healthcare and Telemedicine Approaches for Improving Digital Healthcare Systems
15.1 Introduction
15.1.1 Chapter Organization
15.1.2 Telemedicine History
15.1.3 Telehealth and Telemedicine Consultation Centre
15.1.3.1 Components
15.1.3.2 Benefits of Telemedicine
15.1.4 Telemedicine and Use of Artificial Intelligence
15.1.5 Digital Health Transformation Using AI
15.1.5.1 Digital Health Transformation through Blockchain
15.1.6 Telemedicine through Cloud Computing
15.1.7 Telemedicine and Blockchain
15.1.8 Motivation
15.2 Method
15.2.1 AI-Based Bot
15.2.2 Cloud-Enabled Interface
15.2.3 Blockchain Interface
15.3 Working of IAISTM Model
15.3.1 Dataset
15.3.2 Effectiveness of Telemedicine in Present Context
15.3.3 Decision-Making System
15.3.4 Summary of Telemedicine Model for Malaria
15.3.5 Benefits of Cloud in Telemedicine
15.4 Remote Monitoring Through IAISTM
15.4.1 Benefits of IAISTM
15.4.2 Wonders of AI and Blockchain
15.5 Sustainability of the Work
15.6 Application
15.7 Conclusion
15.7.1 Future Scope
References
Chapter 16: Legal Implication of Blockchain Technology in Public Health
16.1 Introduction
16.2 Effectiveness of Blockchain towards Public Health
16.2.1 Blockchain Influx with Time
16.2.2 Smart Contract and Smart Consent
16.3 Blockchain Laws around The Globe
16.3.1 Laws of the United Kingdom and European Union
16.3.2 Laws of the United States of America
16.3.3 Laws of India
16.3.4 Laws of Singapore
16.4 Dynamics of Blockchain and Trust Mechanism
16.4.1 Ethics Code
16.4.2 Trust vs. Nationality
16.4.3 Rationality and Absolute ‘Public Trust’
16.4.4 Acceptance of Blockchain
16.5 Blockchain and Data Governance
16.6 Conclusion
Conflict of Interest
Funding
Data Availability
References
Index