Generative Artificial Intelligence in Healthcare
eBook - ePub

Generative Artificial Intelligence in Healthcare

Current Practices and Future Development

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

Generative Artificial Intelligence in Healthcare

Current Practices and Future Development

About this book

Generative artificial intelligence (AI) is a transformative force in smart healthcare. It can produce contents virtually indistinguishable from human-created material, with the power to redefine healthcare and revolutionize how medical science interacts with technology. This book presents the potential applications and benefits of generative AI in healthcare and discusses its execution challenges and ethical aspects.

Generative Artificial Intelligence in Healthcare: Current Practices and Future Development starts by reviewing the past and then discussing the present of generative AI-based systems and the potential challenges the future might bring. It then highlights the integration of generative AI with IoT and blockchain technologies along with offering case studies. The book explores how to integrate augmented and virtual reality into generative AI-based healthcare and covers the development of an effective machine algorithm for generative AI-based healthcare, as well as the design and implementation of generative adversarial networks (GANs) in healthcare systems.

Discussions about data security and ergonomic design for healthcare products are also included in the book. This book will provide a platform for the past, present, and future of generative AI and will help researchers and healthcare practitioners generate more robust solutions.

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Yes, you can access Generative Artificial Intelligence in Healthcare by Rajendra Kumar,Shankar Ramamoorthy,Vishal Jain,Utku Kose,Ong Eng Tek,Utku Köse 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 Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. Acknowledgments
  9. Editors
  10. Contributors
  11. Introduction
  12. 1 Transformative Influence of Explainable AI in Smart Healthcare
  13. 2 Disease Diagnosis and Clinical Research Using Generative AI
  14. 3 Transformative Impact on Disease Diagnosis Using Generative AI
  15. 4 Exploring Digital Tools Utilizing Generative AI in Healthcare
  16. 5 Ethical Considerations in Generative Artificial Intelligence in Healthcare
  17. 6 Navigating the Ethical Crossroads of Generative AI in Healthcare
  18. 7 The Pinnacle of Disease Diagnosis through Generative Artificial Intelligence: Transforming Healthcare
  19. 8 Exploring Generative AI and IoMT in Diabetes Prediction
  20. 9 Machine Learning Algorithms for Analyzing Medical Images and CT Scans
  21. 10 Integrity in Innovation: Harnessing Generative AI for Next-Generation Healthcare
  22. 11 Generative Adversarial Networks for Healthcare Applications
  23. 12 Innovations in Smart Healthcare: Integrating Generative Artificial Intelligence with Federated Learning
  24. 13 Generative Artificial Intelligence in Healthcare: Approaches and Applications
  25. 14 Generative AI in Healthcare: A European Case Study
  26. 15 Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Healthcare
  27. 16 A Reassessment of Generative AI for Healthcare and Future Work Environments
  28. Index