Medical Robots and Devices: New Developments and Advances – serie

Soft and Continuum Robots for Medical Applications: A Practical Approach introduces present and future technologies of soft and continuum robotics for medical applications. This book dives into the importance of medical device development for electronics, control theory, microcontrollers, MATLAB programming, machine design, biophysics, anatomy, and physiological limitations through a structured approach that clearly presents underlying key concepts to educate readers on the methodology of approaching medical device development. This book also explores soft and continuum robotic technology in various sub-domains such as robotic navigation, robotic navigation, sensing and bio photonics, autonomy, and shared autonomy. Biomedical engineers, doctors, and researchers in biomedical robotics, biomechanics, robotics, biotechnology, engineering in medicine, mechanical and electrical engineering, health science, and technology will find this book helpful in providing theoretical and practical knowledge in using robotics in the medical field.

Introduces recent advances in medical robotics, their current and potential applications in healthcare industryProvides a framework of steps involved in designing medical devices, introducing the interface between engineering and medicine at the biological levelExplores materials science and processing techniques in soft robotics along with its applications, biocompatibility, cytotoxicityDescribes basic principles behind emerging medical technologies and provides a practical how-to guide on use

Medical and Healthcare Robotics: New Paradigms and Recent Advances provides an overview and exclusive insights into current trends, the most recent innovations, and concerns in medical robotics. The book covers the major areas of medical robotics, including rehabilitation devices, artificial organs, assistive technologies, service robotics, and robotic devices for surgery, exploration, diagnosis, therapy, and training. It highlights the limitations and the importance of robotics and artificial intelligence for medical and healthcare applications.

The book is a timely and comprehensive reference guide for undergraduate-level students, graduate students, and researchers in the fields of electrical engineering, mechanical engineering, mechatronics, control systems engineering, and biomedical engineering. It can be useful for master's programs, leading consultants, and industrial companies. The book can be of high interest for physicians and physiotherapists and all technical people in the medical and biomedical fields.

Covers the main areas of medical and healthcare robotics Presents the most recent innovations and trends in medical and healthcare robotics Contains chapters written by eminent researchers in the field

Robotics for Intervention in Healthcare: From Technology to Clinical Practice bridges the gap between deep-core robotic intervention technology and clinical aspects, including content that is appropriate for physicians and clinicians. The book gives insights on the importance of connectivity in early stages, thoroughly addressing which aspects are important to improve the innovation chain.

Addresses the paths for support with small robots taking over subparts of the patient workflows

Addresses paths to reorganize healthcare where clinicians can focus on patient contact and control main decisions while robotics can take over high precision tasks

Shows different applications and cases in rehabilitation and healthcare technologies

Includes expert clinical perspectives and characteristics covering the entire clinical innovation triangle including regulation, business, and SME perspectives to boost high quality robotic solutions for intervention

Robotics and Artificial Intelligence in Sports Medicine and Sports Services delves into the latest advancements in sports science, medicine, and event management. The book emphasizes the optimization of athlete performance, injury prevention, and rehabilitation through emerging technologies. It highlights the use of wearable sensors, IoT devices, AI-powered virtual and augmented reality, and predictive models based on large language models, which are revolutionizing training and recovery strategies.Additionally, rehabilitation robotics and exoskeletons are enhancing recovery and mobility for clinicians and physiotherapists. AI-driven drones improve performance monitoring, crowd safety, and fan engagement, while service robots streamline logistics and event management in smart stadiums. This book is an invaluable resource for engineers, clinicians, physiotherapists, coaches, and policymakers seeking to integrate smart technologies into sports science and medicine.

Presents advanced technologies in sports medicine, rehabilitation, and coachingOffers AI for boosting athlete’s performance and injury predictionPresents real-time monitoring with wearables, IoT, LLM, VR, AR, fitness trackers, and dronesExplores exoskeletons and robotics for recovery, along with service robots in safe and smart stadiums

Introduction to Digital Human Modeling bridges the gap in current literature by providing a comprehensive resource on digital human modeling for beginners and researchers. The content includes step-by-step procedures for building a digital human model, fundamental human kinematics and dynamics, advanced topics such as motion prediction and injury prevention, and industrial applications.

The book covers theoretical concepts and experimental validation, including human anatomy, degrees of freedom, skeletal and musculoskeletal modeling, equations of motion, reach envelopes, lifting prediction, muscle fatigue model, and injury analysis. It teaches readers how to build simulation-based human models, set up equations of motion, analyze human biomechanics, and utilize simulations and experiments to study worker injuries.

Furthermore, the book introduces both fundamental and advanced digital human modeling methods and optimization techniques aimed at improving performance and preventing injuries in manual material handling, as well as addressing lifting and gait biomechanics and ergonomics.

Step-by-step procedures for building a digital human model???Validation of predicted human motion using simulations and experimentsApplication of formulated optimization techniques for dynamic human motion prediction???????Hybrid musculoskeletal motion prediction and fatigue modeling

Biomedical Robots and Devices in Healthcare: Opportunities and Challenges for Future Applications explores recent advances and challenges involved in using these techniques in healthcare and biomedical engineering, offering insights and guidance to researchers, professionals, and graduate students interested in this area. The book covers key topics such as the current state-of-the-art in biomedical robotics and devices, the role of emerging technologies like artificial intelligence and machine learning, rehabilitation robotics, and the optimization techniques for optimal design and control. The book concludes by exploring the potential future developments and trends in the field of biomedical robotics and devices and their healthcare implications.Provides a comprehensive overview of the current state-of-the-art in biomedical robotics and devices, including a discussion of the various types of devices and robots that are being developed and used in healthcare settingsHighlights the role of computational intelligence techniques such as artificial intelligence, machine learning, Fuzzy Logic, and evolutionary algorithms in the design, development, and the use of biomedical robots and devices, offering insights and guidance to professionals and students on these technologiesExplores the potential future developments and trends in the field of biomedical robotics and devices and their implications for healthcare professionals and patients, providing a valuable resource for those looking to stay up-to-date on advancements in the field

Advances in 3D and 4D Printing of Medical Robots and Devices presents the most recent innovative breakthroughs in smart manufacturing and biomedical engineering to help enhance knowledge and expertise in 3D/4D printing technologies and advancements in biomedical applications through robotics and medical devices. This book highlights the usage and importance of 3D/4D printing-based prototyping as well as the manufacturing of robotic elements such as energy generators, morphology control, and novel design strategies. This book will help readers to pursue contemporary insights into currently ongoing practices in biomedical and mechatronic engineering including the fabrication of actuators manufacturing; muscles, vibration dampers, bio-inspired structures, pre-surgical and post-surgical tooling, medical assistance robots, drug delivery, microfluidic, and wearable electronics. Academic scholars, manufacturing scientists, and commercial manufacturers of bio-devices and medical robotics will find this book to be useful in adopting competent biomaterials as well as innovative techniques for applications in biomedical engineering.Covers all the topics pertaining to 3D & 4D printing & robotics both fundamentals and advancementsProvides scientific and technological insights on additive manufacturing routesCovers a wide range of biomedical devices; such as actuators manufacturing; muscles; vibration dampers; bio-inspired structures; pre-surgical and post-surgical tooling implants; scaffolds; organs

AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies.The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.Emphasizes the integration of AI and data science into medical research, showcasing their influence on drug discovery, medical imaging, diagnostics, and genomic medicineExplores how AI accelerates therapeutic compound discovery and optimizes drug development pipelines, leading to advancements in medical imaging for early disease detection and neuroimagingCovers AI's application in genomic medicine, providing insights into personalized treatment strategies, and a discussion on AI's contribution to public health surveillance, focusing on disease detection and epidemiological research

Advances in Medical Imaging: From Behavioral Analysis to Disease Prevention and Rehabilitation presents a comprehensive exploration of the rapidly evolving field of medical imaging at the crossroads of clinical science, behavioral research, and public health. This book addresses the growing need to understand how advanced imaging technologies-such as MRI, PET, and ultrasound-are transforming healthcare beyond traditional diagnosis. By capturing structural, functional, metabolic, and molecular processes, these innovations provide new insights into brain function, lifestyle impacts, chronic disease, and rehabilitation, supporting the shift toward personalized and preventive medicine.The book is organized into five thematic sections covering a wide range of topics. Early chapters focus on the integration of neuroimaging with behavioral science, highlighting brain-behavior relationships through cutting-edge imaging modalities and cognitive software. Subsequent sections examine the effects of sedentary lifestyles on brain health, vascular function assessed by ultrasound, and musculoskeletal aging through imaging biomarkers. Additional chapters explore chronic disease management, yoga and cognitive well-being, stroke recovery, traumatic brain injury rehabilitation, and the expanding role of imaging in oncology and systemic diseases. Throughout, the book emphasizes the use of artificial intelligence, radiomics, and multimodal imaging to enhance precision medicine and population health research.Advances in Medical Imaging: From Behavioral Analysis to Disease Prevention and Rehabilitation offers valuable insights for researchers, clinicians, and healthcare professionals interested in the applications of medical imaging across multiple disciplines. It highlights imaging’s critical role in advancing personalized care, supporting preventive strategies, and fostering innovation in modern healthcare.Highlights the latest advancements in medical imaging technology and techniquesProvides a comprehensive exploration of medical imaging and its applications in various fields of medicineTakes an interdisciplinary approach by bridging the gap between medical imaging and other relevant fields, such as computer science, artificial intelligence, and biomedical researchRecognizes the importance of collaboration and highlights the potential for integrating different disciplines to enhance the understanding and application of medical imaging in healthcare

Medical Imaging and Behavioral Science provides comprehensive coverage of the fundamental principles of medical imaging and behavioral science. This book presents the latest research, techniques, and technological advancements in medical imaging and behavioral science for researchers and professionals working in the fields of image processing, computer science, and healthcare enabling them to solve problems at different stages of the research workflow. The book examines machine learning and deep-learning based approaches to medical image analysis. Chapters investigate the design and application of software and diagnostic tools across all aspects of medical imaging and behavioral sciences, including autism spectrum disorders, memory and learning, stress, eating disorders, among others. Researchers and professionals working in the fields of medical image processing, computer science, radiology, psychology, and neuroscience will benefit from the unique multidisciplinary perspective.Brings together experts from medical imaging, computer science, radiology, psychology, and neuroscience, offering a unique multidisciplinary perspective that appeals to a wide range of readersExplores the latest research and techniques, enabling medical imaging researchers and healthcare professionals to develop better techniques from a multidisciplinary perspective which can enhance patient care and improve outcomesProvides valuable insights and practical guidance in utilizing machine learning and deep-learning based approaches to medical image analysis

Emerging Trends in Medical Robotics: Technologies, Innovations and Applications, provides an overview of medical robotics, including fundamentals, a bibliometrics review, and essential elements. Other sections delve into emerging technologies such as the Internet of Medical Robots Things (IoMRT), artificial intelligence-driven medical robots, robotic cyber-physical systems, cybersecurity considerations, and the integration of digital twin technology.This book explore various applications of medical robots in surgery, healthcare management, diagnostics imaging, pharmacy and medication dispensing, hospital logistics, ethical considerations, future prospects, and challenges in the field.Discusses the different types of medical robots utilized in medical and healthcare servicesIncludes clear and illustrative figures, diagrams, and schematics of medical robots and their applicationsAddresses the challenges and limitations faced in medical robotics engineering for different healthcare applicationsPresents analytical, experimental, and computational approaches for medical robots

Applied Mathematical Modelling for Biomedical Robotics and Wearable Devices delves into the innovative convergence of mathematical frameworks and biomedical engineering. The book begins by exploring how advanced mathematical modelling underpins the development and optimization of robotic systems and wearable technologies tailored for medical applications. With a strong emphasis on practical implementation, it serves as a bridge between theoretical concepts and real-world engineering challenges in the healthcare sector. Readers will gain insights into the transformative role of mathematical techniques that drive precision, functionality, and human-centric design in cutting-edge medical technologies.The book also covers interdisciplinary applications, integrating domains like biomechanics, sensor technology, and data analytics. By highlighting case studies and real-world scenarios, it showcases practical advancements in wearable devices that monitor health metrics and robotic systems that assist in surgical procedures.Examines the role of applied mathematical modeling in the design, analysis, and optimization of biomedical robots and wearable devicesProvides an insightful exploration of cutting-edge developments in robotics and wearable devicesBridges the gap between the areas of mathematics, engineering, and healthcare

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice examines the transformative role of AI and data science in improving diagnosis, treatment, and healthcare delivery. It shows how machine learning, deep learning, and advanced signal and image analysis enable breakthroughs in genomics, multi-omics integration, biomedical imaging, EEG-based seizure prediction, and real-time physiological monitoring. The book highlights AI-driven stratification of complex syndromes such as sepsis, stroke, and acute respiratory distress syndrome, demonstrating how data-driven models support early detection, personalized interventions, and actionable clinical decisions.The volume also presents system-level innovations, including AI-based forecasting for dialysis, blood supply management, and telemedicine optimization. It addresses ethical and regulatory challenges, fairness, transparency, data governance, and clinical validation, providing a practical roadmap for healthcare professionals, engineers, researchers, and policymakers. By integrating responsible, human-centered AI into precision medicine, the book illustrates clear pathways to enhance patient care, improve outcomes, and promote equitable healthcare.Explores AI and data science in precision medicine, integrating genomics, imaging, and multi-omics for actionable insights.Demonstrates predictive analytics across major clinical conditions, offering a technology-driven roadmap to improve care and outcomes.Highlights ethical, regulatory, and governance considerations essential for responsible AI deployment in healthcare.

AI and Data Science in Healthcare 5.0 delves into the innovative developments in Healthcare 5.0, focusing on smart medical robots, devices, and connected hospitals. It explores the role of robotics in modern healthcare, including advanced wearables enhanced by deep learning. The volume also addresses the integration of blockchain technology, IoT, and cloud computing in healthcare, emphasizing real-time applications in precision healthcare. The discussion extends to energy optimization in smart hospitals, federated learning for IoMT networks, and advanced patient monitoring systems.The volume concludes with an overview of the future opportunities and challenges in Healthcare 5.0.Offers an in-depth exploration of the latest innovations in Healthcare 5.0, highlighting the integration of smart medical robots, devices, and connected hospitalsPresents comprehensive coverage of the integration of blockchain technology, IoT, and cloud computing in healthcare, highlighting real-time applications in precision healthcare and energy optimization in smart hospitalsDiscusses federated learning for IoMT networks, advanced patient monitoring systems, and an overview of future opportunities and challenges in Healthcare 5.0