Full Description
The book reviews the transformative impact of robotics and generative AI technologies on healthcare. It covers the engineering principles and key technologies that support modern healthcare robotics. By explaining the core components and their functions, the book provides readers with a deep understanding of how these technologies contribute to medical innovations. It also explores the basics of generative AI, focusing on its underlying models and practical applications, including its role in transforming diagnostics. The book explains the applications of generative AI in diagnostic precision, and in improving patient care.
Furthermore, the practical aspects of integrating these technologies into healthcare settings are addressed, including the challenges and opportunities involved. It discusses the ethical considerations surrounding the use of robotics and AI, such as data privacy, bias, and regulatory compliance. The final chapters deal with future developments, emerging trends, and potential innovations in the field, offering a forward-looking perspective on how robotics and AI will continue to shape the future of healthcare.
Key Features:
Deals with the convergence of robotics and generative AI in healthcare
Provides a holistic coverage of the technical, clinical, and ethical aspects of robotics and generative AI in healthcare
Reviews the core technologies behind healthcare robotics
Addresses important ethical considerations and regulatory challenges associated with implementing robotics and AI in healthcare
Explores emerging trends and future innovations in robotics and AI, offering readers insights into what is next in the field
Contents
Preface. 1. Introduction to Robotics and Generative AI in Healthcare. 2. Engineering Healthcare: Key Technologies and Systems in Healthcare. 3. Generative AI: A Comparative Analysis of Architectures, Evaluation Metrics, and Emerging Challenges. 4. Foundation of Generative AI: Concepts, Model and Applications. 5. Generative AI in Healthcare: A New Frontier for Diagnostics. 6. Revolutionizing Clinical Practice with Generative AI. 7. Empirical Evaluation using Generative AI models for the Multiclass Classification of Retinal Diseases Images. 8. Implementing Robotics and Generative AI in Healthcare: Challenges and Opportunities. 9. Generative AI in Healthcare: Transforming Delivery and Redefining Patient-Provider Dynamics. 10. Revolutionizing Healthcare: The Synergy of Blockchain and Robotics for Secure, Transparent, and Efficient Operations. 11. Future Directions and Emerging Trends in Robotics and AI. 12. Generative Artificial Intelligence Development, Models, Healthcare Applications, and Future Directions: A Review. 13. Leveraging Data Science and Generative AI to Explore Human Behaviour and Health Issue. Index. About the Editors.
