"Digital Transformation in Healthcare 5.0: IoT, AI, and Digital Twin" provides a comprehensive overview of the integration of cutting-edge technology with healthcare, from the Fourth Industrial Revolution (4IR) to the introduction of IoT, AI, and Digital Twin technologies. This in-depth discussion of the digital revolution expanding the healthcare industry covers a wide range of topics, including digital disruption in healthcare delivery, the impact of 4IR and Health 4.0, e-health services and applications, virtual reality's impact on accessible healthcare delivery, digital twins and dietary health technologies, big data analytics in healthcare systems, machine learning models for cost-effective healthcare delivery systems, affordable healthcare with machine learning, enhanced biomedical signal processing with machine learning, and data-driven AI for information retrieval of biomedical images.

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Yes, you can access Digital Transformation in Healthcare 5.0 by Rishabha Malviya, Sonali Sundram, Rajesh Kumar Dhanaraj, Seifedine Kadry, Rishabha Malviya,Sonali Sundram,Rajesh Kumar Dhanaraj,Seifedine Kadry in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Computer Science General

Index

Computer Science

Title Page
Copyright
Contents
About the book
List of contributors
Chapter 1 The Fourth Industrial Revolution: A paradigm shift in healthcare delivery and management
Chapter 2 Introduction to industry’s fourth revolution and its impacts on healthcare
Chapter 3 The Fourth Industrial Revolution: A paradigm shift in healthcare delivery and management
Chapter 4 E-health services and applications: A technological paradigm shift
Chapter 5 Breaking down walls: The influence of virtual reality on accessible healthcare delivery
Chapter 6 Digital twins and dietary health technologies: Applying the capability approach
Chapter 7 Big Data analytics in healthcare system: A systematic review approach
Chapter 8 Machine learning models for cost-effective healthcare delivery systems: A global perspective
Chapter 9 Machine learning models for cost-effective healthcare delivery systems
Chapter 10 Enhancing biomedical signal processing with machine learning: A comprehensive review
Chapter 11 Data-driven AI for information retrieval of biomedical images
Index

About this book

Frequently asked questions

Information

Table of contents