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.
1. Cover image - p. c 2. Titlepage - p. iii 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xiii 6. Preface - p. xvii 7. Acknowledgments - p. xix 8. Chapter 1 Principles and models of digital healthcare ecosystem - p. 1 9. Chapter 2 The role of Artificial Intelligence (AI) and Generative Artificial Intelligence (Gen AI) in digital healthcare - p. 25 10. Chapter 3 An extensive analysis of artificial intelligence and internet of things for modern healthcare realm - p. 47 11. Chapter 4 Applications of artificial intelligence and generative artificial intelligence in digital healthcare ecosystem - p. 65 12. Chapter 5 Advancements and applications in the smart healthcare ecosystem - p. 83 13. Chapter 6 Enhancing healthcare services with artificial intelligence and generative artificial intelligence technologies - p. 101 14. Chapter 7 Integrating artificial intelligence and internet of things for smart healthcare systems - p. 123 15. Chapter 8 Internet of things (IoT)-based technologies for smart healthcare - p. 145 16. Chapter 9 Automation and robotics in medical laboratory services - p. 163 17. Chapter 10 Sensor technologies and applications for smart healthcare system - p. 181 18. Chapter 11 6G communication network for smart healthcare system - p. 207 19. Chapter 12 Augmented reality (AR) and virtual reality (VR) technologies for smart healthcare system - p. 237 20. Chapter 13 Challenges in implementing quantum technology in healthcare systems - p. 255 21. Chapter 14 AI-based blockchain for smart healthcare system - p. 273 22. Chapter 15 New neural network methods for the detection of heart diseases - p. 289 23. Chapter 16 Artificial internet of things (AIoT)-assisted disease diagnosis model for intelligent healthcare system - p. 299 24. Chapter 17 Machine learning for cardiac rehabilitation through the internet of medical things in smart healthcare system - p. 317 25. Chapter 18 Identify and classify brain tumors using deep learning techniques and magnetic resonance imaging - p. 333 26. Chapter 19 Data mining for fractal measurements features related to breast tumor analysis - p. 347 27. Chapter 20 Artificial intelligence and machine learning in modern healthcare ecosystem - p. 355 28. Chapter 21 Recent advances in the development and application of biosensors for the detection of endocrine disruptor - p. 379 29. Chapter 22 Optimizing ML algorithms for real-time privacy-preserving patient monitoring in embedded systems - p. 397 30. Chapter 23 Digital edge detection algorithms for accurate pneumonia detection in chest radiographs - p. 413 31. Chapter 24 Employing AI-powered clinical decision support to revolutionize healthcare: Integrating data analytics with informed diagnostics - p. 433 32. Chapter 25 Ergonomic designs in smart pills and biosensors for optimizing user experience - p. 447 33. Chapter 26 Medical laboratory monitoring and total quality management for a smart medical laboratory - p. 461 34. Chapter 27 Robotics automation for smart healthcare system and medical laboratory service - p. 483 35. Chapter 28 Big data analytics for smart healthcare system - p. 493 36. Chapter 29 Cybersecurity and privacy data associated with services of smart healthcare - p. 511 37. Chapter 30 Transforming healthcare from telemedicine to AI: Principles, models, future prospects, challenges, and barriers in the digital ecosystem - p. 529 38. Chapter 31 Artificial intelligence techniques for biosensor data analysis - p. 539 39. Chapter 32 Integration of AI and AR in medical imaging: A quantitative analysis of workflow optimization and diagnostic performance - p. 551 40. Chapter 33 Machine learning for biosensor signal processing - p. 567 41. Chapter 34 Revolutionizing medical imaging and diagnostics through advanced AI and augmented reality technologies - p. 597 42. Chapter 35 Future prospects, challenges and ethics of cutting-edge technologies in smart healthcare system - p. 617 43. Index - p. 637
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.
1. Cover image - p. c 2. Titlepage - p. iii 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xiii 6. Preface - p. xvii 7. Acknowledgments - p. xix 8. Chapter 1 Principles and models of digital healthcare ecosystem - p. 1 9. Chapter 2 The role of Artificial Intelligence (AI) and Generative Artificial Intelligence (Gen AI) in digital healthcare - p. 25 10. Chapter 3 An extensive analysis of artificial intelligence and internet of things for modern healthcare realm - p. 47 11. Chapter 4 Applications of artificial intelligence and generative artificial intelligence in digital healthcare ecosystem - p. 65 12. Chapter 5 Advancements and applications in the smart healthcare ecosystem - p. 83 13. Chapter 6 Enhancing healthcare services with artificial intelligence and generative artificial intelligence technologies - p. 101 14. Chapter 7 Integrating artificial intelligence and internet of things for smart healthcare systems - p. 123 15. Chapter 8 Internet of things (IoT)-based technologies for smart healthcare - p. 145 16. Chapter 9 Automation and robotics in medical laboratory services - p. 163 17. Chapter 10 Sensor technologies and applications for smart healthcare system - p. 181 18. Chapter 11 6G communication network for smart healthcare system - p. 207 19. Chapter 12 Augmented reality (AR) and virtual reality (VR) technologies for smart healthcare system - p. 237 20. Chapter 13 Challenges in implementing quantum technology in healthcare systems - p. 255 21. Chapter 14 AI-based blockchain for smart healthcare system - p. 273 22. Chapter 15 New neural network methods for the detection of heart diseases - p. 289 23. Chapter 16 Artificial internet of things (AIoT)-assisted disease diagnosis model for intelligent healthcare system - p. 299 24. Chapter 17 Machine learning for cardiac rehabilitation through the internet of medical things in smart healthcare system - p. 317 25. Chapter 18 Identify and classify brain tumors using deep learning techniques and magnetic resonance imaging - p. 333 26. Chapter 19 Data mining for fractal measurements features related to breast tumor analysis - p. 347 27. Chapter 20 Artificial intelligence and machine learning in modern healthcare ecosystem - p. 355 28. Chapter 21 Recent advances in the development and application of biosensors for the detection of endocrine disruptor - p. 379 29. Chapter 22 Optimizing ML algorithms for real-time privacy-preserving patient monitoring in embedded systems - p. 397 30. Chapter 23 Digital edge detection algorithms for accurate pneumonia detection in chest radiographs - p. 413 31. Chapter 24 Employing AI-powered clinical decision support to revolutionize healthcare: Integrating data analytics with informed diagnostics - p. 433 32. Chapter 25 Ergonomic designs in smart pills and biosensors for optimizing user experience - p. 447 33. Chapter 26 Medical laboratory monitoring and total quality management for a smart medical laboratory - p. 461 34. Chapter 27 Robotics automation for smart healthcare system and medical laboratory service - p. 483 35. Chapter 28 Big data analytics for smart healthcare system - p. 493 36. Chapter 29 Cybersecurity and privacy data associated with services of smart healthcare - p. 511 37. Chapter 30 Transforming healthcare from telemedicine to AI: Principles, models, future prospects, challenges, and barriers in the digital ecosystem - p. 529 38. Chapter 31 Artificial intelligence techniques for biosensor data analysis - p. 539 39. Chapter 32 Integration of AI and AR in medical imaging: A quantitative analysis of workflow optimization and diagnostic performance - p. 551 40. Chapter 33 Machine learning for biosensor signal processing - p. 567 41. Chapter 34 Revolutionizing medical imaging and diagnostics through advanced AI and augmented reality technologies - p. 597 42. Chapter 35 Future prospects, challenges and ethics of cutting-edge technologies in smart healthcare system - p. 617 43. Index - p. 637
