Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation
eBook - ePub

Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation

Principles, Technologies, and Applications

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

Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation

Principles, Technologies, and Applications

About this book

Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation: Principles, Technologies, and Applications is a transformative exploration of how Artificial Intelligence (AI) and automation technologies are reshaping the healthcare landscape. In an era where precision, efficiency, and accessibility in medical services are paramount, this book delves into cutting-edge advancements in AI-powered diagnostics, wearable smart devices, and automated patient care systems. It stands as a beacon for innovators and healthcare professionals who aim to harness technology to streamline processes, improve patient outcomes, and create sustainable solutions in an ever-evolving industry.Beyond its focus on AI and automation, the book also examines the ethical implications and challenges of integrating technology into healthcare. It discusses strategies for implementing these technologies while ensuring patient privacy, maintaining human connection in care delivery, and navigating regulatory hurdles. With detailed case studies and forward-looking insights, the text provides a comprehensive roadmap for leveraging digital tools to shape the future of healthcare. - Covers the cutting-edge medical technologies being used and developed for the smart digital healthcare ecosystem - Provides scenarios for learning to remotely monitor, manage, and control devices - Presents insights on how to glean actionable information from massive streams of real-time data in the smart digital healthcare ecosystem - Discusses both the medical technologies involved in a smart digital Healthcare sector and the security issues that need to be integral in the digital healthcare ecosystem

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Information

Publisher
Academic Press
Year
2025
Topic
Biological Sciences
eBook ISBN
9780443364358
Subtopic
Biology
Index
Biological Sciences

Table of contents

  1. Cover Image
  2. Titlepage
  3. Copyright
  4. Contents
  5. Contributors
  6. Preface
  7. Acknowledgments
  8. CHAPTER 1 Principles and models of digital healthcare ecosystem
  9. CHAPTER 2 The role of Artificial Intelligence (AI) and Generative Artificial Intelligence (Gen AI) in digital healthcare
  10. CHAPTER 3 An extensive analysis of artificial intelligence and internet of things for modern healthcare realm
  11. CHAPTER 4 Applications of artificial intelligence and generative artificial intelligence in digital healthcare ecosystem
  12. CHAPTER 5 Advancements and applications in the smart healthcare ecosystem
  13. CHAPTER 6 Enhancing healthcare services with artificial intelligence and generative artificial intelligence technologies
  14. CHAPTER 7 Integrating artificial intelligence and internet of things for smart healthcare systems
  15. CHAPTER 8 Internet of things (IoT)-based technologies for smart healthcare
  16. CHAPTER 9 Automation and robotics in medical laboratory services
  17. CHAPTER 10 Sensor technologies and applications for smart healthcare system
  18. CHAPTER 11 6G communication network for smart healthcare system
  19. CHAPTER 12 Augmented reality (AR) and virtual reality (VR) technologies for smart healthcare system
  20. CHAPTER 13 Challenges in implementing quantum technology in healthcare systems
  21. CHAPTER 14 AI-based blockchain for smart healthcare system
  22. CHAPTER 15 New neural network methods for the detection of heart diseases
  23. CHAPTER 16 Artificial internet of things (AIoT)-assisted disease diagnosis model for intelligent healthcare system
  24. CHAPTER 17 Machine learning for cardiac rehabilitation through the internet of medical things in smart healthcare system
  25. CHAPTER 18 Identify and classify brain tumors using deep learning techniques and magnetic resonance imaging
  26. CHAPTER 19 Data mining for fractal measurements features related to breast tumor analysis
  27. CHAPTER 20 Artificial intelligence and machine learning in modern healthcare ecosystem
  28. CHAPTER 21 Recent advances in the development and application of biosensors for the detection of endocrine disruptor
  29. CHAPTER 22 Optimizing ML algorithms for real-time privacy-preserving patient monitoring in embedded systems
  30. CHAPTER 23 Digital edge detection algorithms for accurate pneumonia detection in chest radiographs
  31. CHAPTER 24 Employing AI-powered clinical decision support to revolutionize healthcare: Integrating data analytics with informed diagnostics
  32. CHAPTER 25 Ergonomic designs in smart pills and biosensors for optimizing user experience
  33. CHAPTER 26 Medical laboratory monitoring and total quality management for a smart medical laboratory
  34. CHAPTER 27 Robotics automation for smart healthcare system and medical laboratory service
  35. CHAPTER 28 Big data analytics for smart healthcare system
  36. CHAPTER 29 Cybersecurity and privacy data associated with services of smart healthcare
  37. CHAPTER 30 Transforming healthcare from telemedicine to AI: Principles, models, future prospects, challenges, and barriers in the digital ecosystem
  38. CHAPTER 31 Artificial intelligence techniques for biosensor data analysis
  39. CHAPTER 32 Integration of AI and AR in medical imaging: A quantitative analysis of workflow optimization and diagnostic performance
  40. CHAPTER 33 Machine learning for biosensor signal processing
  41. CHAPTER 34 Revolutionizing medical imaging and diagnostics through advanced AI and augmented reality technologies
  42. CHAPTER 35 Future prospects, challenges and ethics of cutting-edge technologies in smart healthcare system
  43. Index

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Yes, you can access Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation by Alex Khang in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over 1.5 million books available in our catalogue for you to explore.