Medicine is constantly evolving, transformed by innovations such as surgical robotics and artificial intelligence (AI). This book explores these revolutionary advances, showing how they are redefining modern surgical practice. Surgical robotics began with systems that helped with minimally invasive procedures and has evolved into precise, widely applicable technologies present in many operating rooms around the world. These systems offer benefits such as shorter recovery time, reduced complications and greater surgical precision. AI, in turn, has become an essential tool in medicine, improving diagnosis, personalizing treatments and analyzing large volumes of data. In surgery, AI enables accurate predictions and real-time decision support, creating a new paradigm where machines assist, learn and adapt, elevating medical care.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Handbook of Robotic and Image-Guided Surgery provides state-of-the-art systems and methods for robotic and computer-assisted surgeries. In this masterpiece, contributions of 169 researchers from 19 countries have been gathered to provide 38 chapters. This handbook is 744 pages, includes 659 figures and 61 videos. It also provides basic medical knowledge for engineers and basic engineering principles for surgeons. A key strength of this text is the fusion of engineering, radiology, and surgical principles into one book. - A thorough and in-depth handbook on surgical robotics and image-guided surgery which includes both fundamentals and advances in the field - A comprehensive reference on robot-assisted laparoscopic, orthopedic, and head-and-neck surgeries - Chapters are contributed by worldwide experts from both engineering and surgical backgrounds

Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation. - Brings AI and smart robotics into imaginative, technically-informed dialogue - Integrates fundamentals with real-world applications - Presents potential applications for AI in smart robotics by use-case - Gives detailed theory and mathematical calculations for each application - Stimulates new thinking and research in applying AI to robotics

Build a solid foundation in surgical AI with this engaging, comprehensive guide for AI novices Machine learning, neural networks, and computer vision in surgical education, practice, and research will soon be de rigueur. Written for surgeons without a background in math or computer science, Artificial Intelligence in Surgery provides everything you need to evaluate new technologies and make the right decisions about bringing AI into your practice. Comprehensive and easy to understand, this first-of-its-kind resource illustrates the use of AI in surgery through real-life examples. It covers the issues most relevant to your practice, including: Neural Networks and Deep Learning Natural Language Processing Computer Vision Surgical Education and Simulation Preoperative Risk Stratification Intraoperative Video Analysis OR Black Box and Tracking of Intraoperative Events Artificial Intelligence and Robotic Surgery Natural Language Processing for Clinical Documentation Leveraging Artificial Intelligence in the EMR Ethical Implications of Artificial Intelligence in Surgery Artificial Intelligence and Health Policy Assessing Strengths and Weaknesses of Artificial Intelligence Research Finally, the appendix includes a detailed glossary of terms and important learning resources and techniques―all of which helps you interpret claims made by studies or companies using AI.

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.

3D Bioprinting for Reconstructive Surgery: Techniques and Applications examines the combined use of materials, procedures and tools necessary for creating structural tissue constructs for reconstructive purposes. Offering a broad analysis of the field, the first set of chapters review the range of biomaterials which can be used to create 3D-printed tissue constructs. Part Two looks at the techniques needed to prepare biomaterials and biological materials for 3D printing, while the final set of chapters examines application-specific examples of tissues formed from 3D printed biomaterials. 3D printing of biomaterials for tissue engineering applications is becoming increasingly popular due to its ability to offer unique, patient-specific parts—on demand—at a relatively low cost. This book is a valuable resource for biomaterials scientists, biomedical engineers, practitioners and students wishing to broaden their knowledge in the allied field. - Discusses new possibilities in tissue engineering with 3D printing - Presents a comprehensive coverage of the materials, techniques and tools needed for producing bioprinted tissues - Reviews emerging technologies in addition to commercial techniques