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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

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Description

AI-Powered Developments in Medical Robotics: Data-Driven Techniques for Enhanced Surgical Efficiency offers a comprehensive exploration of AI-driven innovations, robotics, and data-driven techniques specifically tailored for medical applications. This book strikes a balance by addressing foundational principles, emerging technologies, and their practical implementation in real-world scenarios. It enhances its value through the inclusion of real-world case studies and interdisciplinary perspectives, making it relevant for professionals, researchers, and students alike. The book explores future developments, such as augmented and virtual reality in medical robotics, positioning itself as a forward-thinking resource. By addressing current gaps in the field, including regulatory challenges, training needs, and cost-effectiveness, it ensures a well-rounded approach that appeals to both advanced and emerging markets. This multifaceted perspective enriches the reader's understanding and equips them with actionable insights for navigating the complexities of AI-driven healthcare robotics. The book serves as a definitive reference for a global audience seeking innovation and practical solutions in the rapidly evolving landscape of medical technology, bridging the gap between theory and practice in a critical area of healthcare advancement.

Key features

  • 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

Readership

Graduate students, professionals, and researchers in biomedical engineering, robotics, computer science, and healthcare technology

Table of contents

Part I: Fundamentals of AI and 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

Product details

  • Edition: 1
  • Latest edition
  • Published: August 1, 2026
  • Language: English

About the editors

TM

Thomas Heinrich Musiolik

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.
Affiliations and expertise
Chair Professor, Woxsen University, Hyderabad, India

HK

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.

Affiliations and expertise
Department of Artificial Intelligence and Business Analytics, Woxsen University, India

RR

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.

Affiliations and expertise
Professor and Vice President, Woxsen University, India

MR

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.

Affiliations and expertise
Professor, Department of Software Engineering and Data Science, University of St. Thomas, USA