The book provides a comprehensive overview of the fundamentals, technologies, and recent advances in surgical robotics and computer-assisted surgery and provides a thorough understanding of the fundamentals and advances in surgical robotics and computer-assisted surgery. It covers core concepts, system architectures, control mechanisms, imaging integration, AI-assisted decision support, and emerging robotic platforms. Through theoretical insights, practical case studies and clinical applications, the book bridges engineering principles with medical practice, highlighting current challenges, ethical considerations, and future directions in robotic-assisted surgical systems. The book is intended for researchers, graduate students, surgeons, biomedical engineers, and industry professionals working in surgical robotics, medical imaging, healthcare technology, and computer-assisted intervention systems.
Key Features:
- Covers fundamental principles, technological advancements, clinical applications, and future directions.
- Includes contributions from leading experts in surgical robotics and computer-assisted surgery.
- Provides a comprehensive overview of robotic systems, sensors, instrumentation, and advanced materials.
- Explores clinical applications in urology, cardiothoracic surgery, neurosurgery, orthopedics, and more.
- Discusses artificial intelligence, machine learning, virtual reality, and augmented reality in robotic surgery.
- Offers case studies, best practices, and lessons learned from robotic surgery programs.
Dr. Kapil Joshi is an Associate Professor in the Department of Computer Science & Engineering at the Uttaranchal Institute of Technology (UIT), Uttaranchal University, Dehradun, India. He holds a Ph.D. in Computer Science & Engineering, with his doctoral research focused on image quality enhancement using fusion techniques. He has over a decade of experience in academia, industry, and research, and his teaching interests include Operating Systems, Database Management Systems, Web Development, and Machine Learning.
Dr. Joshi’s research interests span image processing, computer vision, pattern recognition, deep learning, and intelligent systems. He is currently pursuing postdoctoral research (remote) at the Singapore Institute of Technology (SIT), Singapore, under international academic supervision. He has published extensively in reputed international journals and conferences and has contributed to several edited books and book chapters with leading publishers. Dr. Joshi is a Senior Member of IEEE and actively serves as an editor, reviewer, and technical committee member for various international journals and conferences. He has received multiple awards for excellence in research and academic contributions.
Dr. Kiruthigha R is an Assistant Professor in the Department of Information Technology at SRM Institute of Science and Technology (SRMIST), Ramapuram, India. She holds a Ph.D. from Anna University, Chennai, an M.Tech. from Anna University, and a B.Tech. from Bharathiar University. With over 12 years of teaching experience, Dr. Kiruthigha specializes in Machine Learning and Medical Image Processing. Her research contributions focus on applying intelligent computational techniques to healthcare-related image analysis, aiming to enhance diagnostic accuracy and medical decision-making. She is actively involved in both academic instruction and research supervision at the undergraduate and postgraduate levels.
Dr. Gopal Krishna is an Assistant Professor in the Department of Computer Science and Engineering at the Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, India. He completed his Ph.D. on the design and implementation of an Artificial Intelligence-assisted predictive framework aimed at enhancing the efficiency and reliability of Battery Management Systems. Dr. Krishna is a prolific researcher with keen interests in Artificial Intelligence, the Internet of Things (IoT), and their applications in green energy and sustainability. He has authored textbooks and published numerous research papers in reputed journals. His academic pursuits and research contributions extend into the realm of advanced computational intelligence, focusing on cutting-edge developments for transformative solutions in renewable energy and sustainable technologies.
Dr. Prabhishek Singh (Senior IEEE Member) is an Associate Professor in the School of Computer Science Engineering and Technology at Bennett University (The Times Group), Greater Noida, India, and also serves as Honorary Adjunct Faculty at Maryam Abacha American University of Nigeria. He received his Ph.D. from Babasaheb Bhimrao Ambedkar University (Central University), Lucknow, in 2018. Dr. Singh has authored over 300 peer-reviewed publications in SCI, SCIE, ESCI, and Scopus venues. His research interests include multimodal medical image fusion, computer vision, deep learning, and AI-enabed healthcare analytics, and he actively contributes as journal editor and reviewer. He is listed among the World's Top 2% Scientists.
Dr. Manoj Diwakar is working as Professor in the Department of Computer Science and Engineering at Graphic Era Deemed to be University, Dehradun. His research interests include image processing, information security and medical imaging. He has published more than 200+ research papers in peer-reviewed journals, conferences, books and book chapters with national and international publishers of repute such as IEEE, Springer and Elsevier. He has also served as guest editor/associate editor/editorial member of many reputable journals and organized many international conferences. Dr. Diwakar’s editorial expertise is evidenced by his role as an Associate Editor, Academic Editor, and Guest Editor for prominent journals published by Elsevier, SPIE, and Bentham Science, among others. He has also served as a book editor for leading international publishers such as Springer, Elsevier, CRC Press, and Bentham Science. Furthermore, he regularly serves as a reviewer for renowned journals, including IEEE Transactions, Elsevier, Springer, and Inderscience publications.
