Surgical Robotics and Computer-Assisted Surgery

Fundamentals and Advances

Kapil Joshi, Kiruthigha R., Gopal Krishna, Prabhishek Singh, Manoj Diwakar, Kiruthigha R

• Publisher: CRC Press
• Year: 2026
• Print ISBN:
  9781041087380
• eBook ISBN:
  9781040649756
• Edition: 1
• Topic: Medicine
• Subtopic: Computer Vision & Pattern Recognition

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.

Table of contents

• Cover Page
• Title Page
• Copyright Page
• Preface
• Contents
• List of Contributors
• 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 in 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
• 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
• Index
• About the Editors