Medical Robotics and Computer-Assisted Surgery: AI-Enhanced, Data-Driven, and Evidence-Based Approaches

Medical Robotics and Computer-Assisted Surgery: AI-Enhanced, Data-Driven, and Evidence-Based Approaches.

Introduction to the Book Series. Medical robotics and computer-assisted surgery represent a revolutionary advancement in modern healthcare, integrating artificial intelligence, robotics, and data-driven techniques to enhance surgical precision, efficiency, and patient outcomes. These technologies enable minimally invasive procedures, reduce human errors, and provide real-time decision support to surgeons. AI-driven robotic systems assist in complex surgeries, offering greater dexterity and precision beyond human capabilities. Image-guided and computer-assisted techniques improve visualization, allowing for better diagnostics and targeted treatments. Despite their transformative potential, challenges such as high costs, regulatory compliance, and seamless integration with existing medical infrastructures remain. Ongoing research and technological innovations continue to shape the future of medical robotics, paving the way for safer and more effective surgical interventions..

Objectives of the Book Series. Explore cutting-edge AI-driven surgical robotics Analyze data-driven methodologies for precision surgery Integrate evidence-based techniques into medical robotics Bridge the gap between research and clinical applications.

Key Themes Covered. AI in Surgical Robotics Computer Vision & Image-Guided Surgery Data Analytics & Predictive Modeling Robotic-Assisted Diagnosis & Treatment Ethical & Regulatory Aspects.

AI-Driven Surgical Robotics. Machine Learning for surgical decision-making Real-time AI-assisted robotic control Personalized AI models for robotic surgery Minimally invasive robotic surgery AI-assisted orthopedic and neurosurgery Robotic-assisted rehabilitation and prosthetics.

Data-Driven Approaches. Role of Big Data & IoT in surgical robotics Predictive analytics for surgical outcomes Data security and interoperability in healthcare AI Clinical validation of robotic surgery systems Evidence-based AI models for patient care Comparative analysis: Robotic vs. Traditional Surgery.

Ethical, Legal, and Regulatory Challenges. AI safety and reliability in robotic surgery Regulatory compliance (FDA, CE, etc.) Ethical considerations in AI-driven decision-making Next-generation AI for medical robotics Integration of AR/VR in robotic surgery The role of blockchain in secure medical robotics data.

Call for Contributors & Collaboration. Invitation for researchers, academicians, and industry experts Contact information and publication roadmap Prof.(Dr.)Subhendu Kumar Pani Skpani.utkal@gmail.com Medical Robotics and Computer Assisted Surgery | Elsevier.