Smart Healthcare Systems
eBook - ePub

Smart Healthcare Systems

AI and IoT Perspectives

  1. 374 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Smart Healthcare Systems

AI and IoT Perspectives

About this book

Recently, the fields of Artificial Intelligence (AI) and the Internet of Things (IoT) have revolutionized numerous industries, including healthcare. The convergence of AI and IoT has given birth to smart healthcare systems, transforming the way we deliver, receive, and experience healthcare services. This book explores the profound impact of these technologies on healthcare and presents a comprehensive overview of their applications, challenges, and prospects.

Smart Healthcare Systems: AI and IoT Perspectives addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns. It also discusses healthcare as a multidisciplinary field that involves a range of sectors such as the financial system, social factors, health technologies, and organizational structures that affect individuals, families, institutions, organizations, and populations' healthcare. The book presents the goals of healthcare services which include patient safety, timeliness, effectiveness, efficiency, and equity. An outline of what smart healthcare consists of which is m-health, e-health, electronic resource management, smart and intelligent home services, and medical devices is included. Along with highlights on how AI and IoT-enabled healthcare technologies are suitable for remote health monitoring, including rehabilitation, and assisted ambient living. Rounding the offers of this book out is that it also covers how healthcare analytics can be applied to the data gathered from different areas to improve healthcare at a minimum expense.

Researchers, Academicians, Industry, R&D Organizations, medical professionals, PG students, and policymakers in the fields of artificial intelligence, the internet of things, healthcare informatics, biomedical engineering, medical informatics, and related subjects can use this book to assist them in making appropriate decisions regarding these emerging disciplines.

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Yes, you can access Smart Healthcare Systems by Pankaj Bhambri,Rashmi Soni,Tien Anh Tran in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. About the Editors
  8. List of Contributors
  9. Chapter 1 Artificial Intelligence Enabled Internet of Medical Things for Enhanced Healthcare Systems
  10. Chapter 2 Internet of Medical Things with Artificial Intelligence for Improved Healthcare Systems
  11. Chapter 3 Blockchain for Transparent, Privacy Protected and Secure Health Data Management
  12. Chapter 4 SPSHS: Security and Privacy Concerns in Smart Healthcare Systems
  13. Chapter 5 Transforming Healthcare Engagement in the Med-Tech Industry through Digital Marketing
  14. Chapter 6 Cloud and IoT Integration for Smart Healthcare
  15. Chapter 7 IoT-based Effective Wearable Healthcare Monitoring System for Remote Areas
  16. Chapter 8 Voice Signal-Based Disease Diagnosis using IoT and Learning Algorithms for Healthcare
  17. Chapter 9 Artificial Intelligence-Enabled Internet of Medical Things for Enhanced Healthcare Systems
  18. Chapter 10 Role of AI and IoT Based Medical Diagnostics Smart Health Care System for Post-Covid-19 World
  19. Chapter 11 Integrating Sensor, Actuators, and IoT for Smart Healthcare in Post-COVID-19 World
  20. Chapter 12 Design and Implementation of 3D Printed Non-Invasive Mechanical Ventilator Device against COVID-19 Pandemic
  21. Chapter 13 Emotional Sentiment Analysis by Machine Learning from EEG of Brainwave Data
  22. Chapter 14 Marvel of Biosensors in Smart Healthcare and Application of Internet of Medical Things for Diagnosis: Unveiling Benefits, Challenges and Futuristic Approach
  23. Chapter 15 An Application of Hybrid Machine Learning Framework to Predict the Heart Diseases in Smart Healthcare Systems
  24. Chapter 16 Role of Artificial Intelligence in Advancing Pancreatic Cancer Research
  25. Chapter 17 Internet of Medical Things for Abnormality Detection in Infants using Mobile Phone App with Cry Signal Analysis
  26. Chapter 18 An IoT-Based Physician Decision Supporting System for Pediatric Disease Diagnosis
  27. Chapter 19 Leveraging ChatGPT-Like Large Language Models for Alzheimer’s Disease: Enhancing Care, Advancing Research, and Overcoming Challenges
  28. Chapter 20 Elderly Fall Detection using Deep Learning Enabled Internet of Healthcare Things
  29. Chapter 21 AI-Powered Internet of Medical Things for Monitoring Elderly Adults in Independent Living Environments
  30. Chapter 22 Improving Elder Care: Vision-Based Wearable Technology for Fall Recognition and Prevention
  31. Chapter 23 Is Rural India Forgoing the Benefits of Non-implementing AI-enabled Healthcare: A Prospective Analysis
  32. Chapter 24 A Review Study of Machine Learning Algorithms for Diabetic Prediction Using PIMA Dataset in Cloud Computing
  33. Index