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Digital Transformation in Healthcare 5. 0 : Volume 2: Metaverse, Nanorobots and Machine Learning.
- Format:
- Book
- Author/Creator:
- Malviya, Rishabha.
- Series:
- Smart Computing Applications Series
- Smart Computing Applications Series ; v.9/2
- Language:
- English
- Subjects (All):
- Medical technology.
- Artificial intelligence.
- Physical Description:
- 1 online resource (400 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Berlin/Boston : Walter de Gruyter GmbH, 2024.
- Summary:
- This comprehensive book explores the transformative impact of disruptive technologies on the healthcare sector. It examines the role of blockchain in enhancing data security, the potential of the metaverse for improving patient care, and the application of artificial intelligence and machine learning in accurate disease diagnosis and healthcare management. The book also delves into the use of nanorobots for personalized therapeutics and the integration of cognitive computing in smart healthcare systems. It discusses the implications of big data analytics and natural language processing, showcasing innovative strategies and emerging trends in healthcare. Ethical and privacy considerations of these technologies are also addressed. The book is designed to inspire researchers, policymakers, and healthcare professionals to leverage these technologies for advanced, empathetic healthcare solutions. Generated by AI.
- Contents:
- Intro
- About the book
- Preface
- Foreword
- Contents
- List of contributors
- Chapter 1 The impact of blockchain technology on the healthcare system
- Chapter 2 The role of metaverse in transforming healthcare: blockchain approach
- Chapter 3 Blockchain-empowered metaverse healthcare systems and applications
- Chapter 4 Role of artificial intelligence in disease diagnosis
- Chapter 5 Machine learning for twinning the human body
- Chapter 6 Improving patient care and healthcare management using bigdata analytics presents several research challenges
- Chapter 7 An emerging trends of bioinformatics and big data analytics in healthcare
- Chapter 8 Digital twins in medicine: leveraging machine learning for real-time diagnosis and treatment
- Chapter 9 Nanorobots in healthcare
- Chapter 10 Semantic-based approach for medical cyber-physical system (MCPS) with biometric authentication for secured privacy
- Chapter 11 Integration of cognitive computing and AI for smart healthcare
- Chapter 12 An overview of recommender systems in the healthcare domain: significant contributions, challenges, and future scope
- Chapter 13 Advancements and challenges of using natural language processing in the healthcare sector
- Chapter 14 Intraocular pressure monitoring system for glaucoma patients using IoT and machine learning
- Chapter 15 A machine learning approach to voice analysis in Parkinson's disease diagnosis
- Index.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 9783111398549
- 3111398544
- OCLC:
- 1433206898
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