AI-Powered Developments in Medical Robotics
Data-Driven Techniques for Enhanced Surgical Efficiency
- 1st Edition - August 1, 2026
- Latest edition
- Editors: Thomas Heinrich Musiolik, Hemachandran Kannan, Raul Villamarin Rodriguez, Manjeet Rege
- Language: English
AI-Powered Developments in Medical Robotics: Data-Driven Techniques for Enhanced Surgical Efficiency offers a comprehensive exploration of AI-driven innovations, robotics, and da… Read more
- Offers a thorough integration of AI-driven innovations, robotics, and data-driven techniques specifically tailored for medical applications
- Addresses foundational principles, emerging technologies, and practical implementation, providing a well-rounded perspective that combines theory with real-world application
- Includes real-world case studies and insights from various disciplines
- Discusses future advancements, such as augmented and virtual reality in medical robotics
1. Fundamentals of Medical Robotics
2. AI and Data-Driven Innovations in Medicine
Part II: Ethical, Regulatory, and Adoption Challenges
3. Ethics and Intelligence in Medical Robots
4. Regulatory Requirements and Clinical Approval Pathways for AI-Driven Robotics
5. Training Healthcare Professionals for AI-Driven Medical Robotics
6. Strategies for Clinical Adoption of AI-Powered Systems
Part III: Advanced Applications in Medical Robotics
7. Image-Guided Surgery and AI Algorithms
8. Neurosurgery with AI-Assisted Robotics
9. Cardiovascular Robotics and AI Integration
10. AI for Orthopedic Surgery with Robots
Part IV: Emerging Technologies and Future Trends
11. Augmented and Virtual Reality in Medical Robotics
12. Blockchain for Secure Data Sharing: Integration with AI-Driven Robotics (Scaled-back focus, tied tightly to AI applications)
13. Data Analytics and AI for Surgical Outcomes
Part V: Economic and Social Dimensions
14. Economic Impact and Accessibility of Medical Robotics
15. Cost-Effectiveness Analyses of AI-Based Medical Robotics
16. Addressing Global Accessibility in AI-Driven Healthcare
Part VI: Case Studies and Practical Frameworks
17. Real-World Case Studies in AI-Driven Medical Robotics
18. Comparative Analysis of Current Systems and Emerging Innovations
Part VII: Challenges and the Road Ahead
19. Challenges in AI-Based Robotic Surgery The Road Ahead: Innovations and Future Trends in AI Medical Robotics
- Edition: 1
- Latest edition
- Published: August 1, 2026
- Language: English
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Thomas Heinrich Musiolik
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Hemachandran Kannan
Dr. Hemachandran Kannan is a Professor in the Department of Artificial Intelligence & Business Analytics at Woxsen University, India, where he holds the Zita Zoltay Paprika Chair in Decision Sciences and Business Economics, as well as the Course5i Chair in Business Analytics and Machine Learning. With 15 years of teaching and 5 years of research experience, he is a dedicated educator skilled in AI and Business Analytics. After earning a Ph.D. in Embedded Systems, Dr. Kannan shifted his focus to interdisciplinary research. He has served as a resource person at numerous national and international conferences and has lectured on AI and Business Analytics topics. Recognized as Best Faculty at Woxsen University (2021-2022) and Ashoka Institute of Engineering & Technology (2019-2020), he has expertise in Natural Language Processing, Computer Vision, and autonomous systems.
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Raul Villamarin Rodriguez
Dr. Raul Villamarin Rodriguez is the Vice President of Woxsen University, where he holds the Steven Pinker Professorship in Cognitive Psychology and the Classavo Chair in Integrative Research and Digital Learning. He is also an Adjunct Professor at Universidad del Externado in Colombia and serves on the International Advisory Boards of IBS Ranepa in Russia and the University of Pécs Faculty of Business and Economics. Dr. Rodriguez represents India on the PRME i5 Expert Pedagogy Group and holds a Ph.D. in Artificial Intelligence and Robotics Process Automation in Human Resources. His expertise includes machine learning, deep learning, natural language processing, and quantum artificial intelligence. He is a registered expert in these fields with the European Commission and was nominated for the Forbes 30 Under 30 Europe 2020 list. Dr. Rodriguez has co-authored two reference books, published over 70 research papers, and is a regular contributor to various magazines on analytics and emerging technologies. He also serves as a journal reviewer and associate editor for several publications, including IEEE.
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Manjeet Rege
Dr. Manjeet Rege is a Professor and Chair of the Department of Software Engineering and Data Science; and Director of the Center for Applied Artificial Intelligence at the University of St. Thomas. Dr. Rege is an author, mentor, thought leader, and a frequent public speaker on Big Data, Machine Learning, and Artificial Intelligence technologies. He is also the co-host of the "All Things Data" podcast that brings together leading data scientists, technologists, business model experts and futurists to discuss strategies to utilize, harness and deploy data science, data-driven strategies and enable digital transformation. Apart from being engaged in research, Dr. Rege regularly consults with various organizations to provide expert guidance for building Big Data and AI practice, and applying innovative data science approaches. He has published in various peer-reviewed reputed venues such as IEEE Transactions on Knowledge and Data Engineering, Data Mining & Knowledge Discovery Journal, IEEE International Conference on Data Mining, and the World Wide Web Conference. He is on the editorial review board of Journal of Computer Information Systems and regularly serves on the program committees of various international conferences.