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Digital Transformation in Healthcare 5. 0 : Volume 1 / Rishabha Malviya [and three others], editors.
- Format:
- Book
- Series:
- Smart Computing Applications Series
- Smart Computing Applications Series ; Volume 9/1
- Language:
- English
- Subjects (All):
- Artificial intelligence--Safety measures.
- Artificial intelligence.
- Physical Description:
- 1 online resource (0 pages)
- Edition:
- First edition.
- Place of Publication:
- Berlin, Germany : Walter de Gruyter GmbH, [2024]
- Summary:
- "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.
- Contents:
- Frontmatter
- About the book
- Preface
- Foreword
- Contents
- 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
- Notes:
- Description based on publisher supplied metadata and other sources.
- Description based on print version record.
- Includes index.
- ISBN:
- 3-11-132785-X
- 9783111327853
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