Surgical Robotics and Computer-Assisted Surgery
Fundamentals and Advances
Will be published approx. on 18. August 2026
320 pages
E-Book
978-1-040-56614-5 (ISBN)
Description
Surgical robotics and computer-assisted surgery represent a rapidly evolving interdisciplinary field that integrates robotics, artificial intelligence, medical imaging, sensing technologies, and human-machine interaction to enhance surgical precision and safety. These technologies enable minimally invasive procedures, improved visualization, real-time decision support, and enhanced dexterity beyond human limitations. As healthcare systems increasingly adopt digital and robotic solutions, computer-assisted surgery is transforming clinical workflows, surgical outcomes, and patient care standards worldwide.
This book presents 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. This edited book provides a comprehensive overview of the latest advancements and applications in surgical robotics. This book covers the fundamental principles, technologies, and clinical applications of robotic surgery.
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.
This book presents 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. This edited book provides a comprehensive overview of the latest advancements and applications in surgical robotics. This book covers the fundamental principles, technologies, and clinical applications of robotic surgery.
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
31 Tables, black and white; 49 Line drawings, black and white; 10 Halftones, black and white; 59 Illustrations, black and white
ISBN-13
978-1-040-56614-5 (9781040566145)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Kapil Joshi | Kiruthigha R | Gopal Krishna
Surgical Robotics and Computer-Assisted Surgery
Fundamentals and Advances
Book
approx. 08/2026
1st Edition
CRC Press
€129.50
Not yet published
Persons
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. R. Kiruthigha 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.
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. R. Kiruthigha 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.
Content
Preface. 1. Artificial Intelligence and Autonomous Technologies in Revolutionalizing Neurosurgical Precision and Postoperative Recovery. 2. Advancing Fetal Health Prediction: A Review of CTG-Based Classification, MRI, Segmentation, and Abnormality Detection. 3. Fracture Detection in X-Ray Images Using Deep Supervised Learning. 4. Transforming Healthcare with AI: An Introduction to Machine Learning and Deep Learning Techniques. 5. Semi-Supervised Image Segmentation Techniques for Medical Image Analysis. 6. Challenges Issues on Low-Quality Images in Cancer Detection within Medical Imaging System and Image Enhancement Using Multifocus Image Fusion Techniques. 7. Future Challenges and Opportunities in Surgical Robotics. 8. Artificial intelligence Cardiac Surgery and Medicine Practice Hope for the Future. 9. The Role of AI and Robotic Aided Plastic Surgery in Skin Cancer Management. 10. Enhancing Medical Competence using AR and VR Techniques. 11. Smart Surgical Tools: Sensor-Integrated Instruments in Robotic Surgery. 12. Surgical Robots: Principles, Technologies and Clinical Application. 13. Integrating Robotics into Neurosurgery Techniques, Benefits, and Challenges. 14. Robotics in Minimally Invasive Surgery INVASIVE SURGERY. 15. Artificial Intelligence and Machine Learning in Robotic Surgery. 16. The Role of Artificial Intelligence in Next-Generation Surgical Robotics. 17. Kinematics, Workflow Integration, and Clinical Applications.
