1st Edition
Robotics and Generative AI in Healthcare A New Era of Innovation
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
Biography
Deepika Kumar is an Associate Professor and Head of Department, Computer Science & Engineering at Bharati Vidyapeeth’s College of Engineering, New Delhi. She has a PhD in the area of Machine Learning and Bioinformatics. She has more than 16 years of teaching experience. Her research interests are Machine Learning, Artificial Intelligence and Bioinformatics. She has been granted two patents and published more than 30 research papers in various SCI, SCIE, Scopus indexed journals and conferences. She has also published a book Dimensionality Reduction, Feature Extraction, and Manifold in Machine Learning. She received “Best Researcher Award” for consecutively four years for her contribution in research at Bharati Vidyapeeth’s College of Engineering, New Delhi.
Gargi Mishra has a Master’s degree from the Indian Institute of Technology, Roorkee, and a PhD in Machine Learning from GGSIP University, New Delhi. With over 15 years of experience in teaching, technical writing, and research, she is currently an Associate Professor at Bharati Vidyapeeth’s College of Engineering, New Delhi, in the Department of Computer Science and Engineering. Her research interests include artificial intelligence, machine learning, and computer vision.
Jude D Hemanth is a Full Professor in the Department of ECE at Karunya University, Coimbatore, India. He holds a B.E. in ECE, an M.E. in Communication Systems, and a Ph.D. in Computational Intelligence and Image Processing. He has authored over 280 research papers in reputed journals and conferences, with a cumulative impact factor exceeding 520, and has published 49 edited books with leading publishers. Dr. Hemanth serves as Associate Editor for several SCIE-indexed journals, including IEEE JBHI, IEEE Transactions on ITS, Soft Computing (Springer), IET Image Processing, and Heliyon (Elsevier). He is the series editor for the “Biomedical Engineering” series (Elsevier) and “Robotics and Healthcare” (CRC Press), and a board member for the ASTI series (Springer). He has led and collaborated on funded research projects from the UK (GCRF), CSIR, and DST (India), and is affiliated as a Research Scientist with labs in Argentina, Brazil, Tunisia, Romania, and Spain. Dr. Hemanth has delivered 200+ keynote talks worldwide and is a certified NVIDIA Deep Learning instructor.
