AI-Powered Developments in Medical Robotics

Thomas Heinrich Musiolik is the Chair Professor of Marketing & Technology at Woxsen University in Hyderabad, India, and a Visiting Professor at Europa University of Applied Sciences in Potsdam, Germany, and i-University (iU) in Tokyo, Japan. He is also a PhD student at the Berlin University of the Arts. He holds an M.A. in Management (Marketing & Communication) from FOM University, a BBA from Avans University, and a Diploma in Business Administration from the Academy of Management and Economics in Berlin. An expert for the European Commission and Editor-in-Chief of the Journal of Future Robot Life, Musiolik has researched the functions of the brain and the influence of digital media since 2011. His work focuses on understanding consumer behavior, experience design, and the impact of digitalization on society, aiming to harness insights for the benefit of humanity while advocating for clear decision-making and humility in scientific endeavors. 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. Dr. Raul Villamarin Rodriguez is Vice President of Woxsen University and holds professorships in cognitive psychology and integrative research. He also serves as an Adjunct Professor at Universidad del Externado in Colombia and sits on international advisory boards in Europe and Russia. He holds a PhD in artificial intelligence and robotic process automation in human resources and specialises in machine learning, deep learning, natural language processing, and emerging areas such as quantum AI. He contributes to global academic initiatives, including expert groups focused on responsible management education and pedagogy. Dr. Rodriguez is recognised as an expert by the European Commission and actively contributes to research, publishing, and academic service through authorship, editorial roles, and peer review for leading journals. His work focuses on advancing AI-driven innovation, analytics, and digital learning in higher education and applied research contexts.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.

• Part I: Fundamentals of AI and Medical Robotics1. Fundamentals of Medical Robotics2. AI and Data-Driven Innovations in MedicinePart II: Ethical, Regulatory, and Adoption Challenges3. Ethics and Intelligence in Medical Robots4. Regulatory Requirements and Clinical Approval Pathways for AI-Driven Robotics5. Training Healthcare Professionals for AI-Driven Medical Robotics6. Strategies for Clinical Adoption of AI-Powered SystemsPart III: Advanced Applications in Medical Robotics7. Image-Guided Surgery and AI Algorithms8. Neurosurgery with AI-Assisted Robotics9. Cardiovascular Robotics and AI Integration10. AI for Orthopedic Surgery with RobotsPart IV: Emerging Technologies and Future Trends11. Augmented and Virtual Reality in Medical Robotics12. 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 OutcomesPart V: Economic and Social Dimensions14. Economic Impact and Accessibility of Medical Robotics15. Cost-Effectiveness Analyses of AI-Based Medical Robotics16. Addressing Global Accessibility in AI-Driven HealthcarePart VI: Case Studies and Practical Frameworks17. Real-World Case Studies in AI-Driven Medical Robotics18. Comparative Analysis of Current Systems and Emerging InnovationsPart VII: Challenges and the Road Ahead19. Challenges in AI-Based Robotic Surgery The Road Ahead: Innovations and Future Trends in AI Medical Robotics