Rapid innovation reshapes modern neurosurgery, enabling more precise, minimally invasive, and data-driven approaches to the treatment of brain and spine disorders. Technologies like robotics, advanced imaging, neuro-navigation, and AI expand surgical capabilities while increasing the complexity of clinical workflows. Their successful integration into patient care depends on coordination among surgeons, engineers, and healthcare systems, highlighting the importance of cross-disciplinary collaboration. These tools face challenges to widespread adoption, including financial constraints, training demands, regulatory hurdles, and unequal access across institutions. Examining both the collaborative processes that support innovation and the obstacles that limit implementation may help shape the future of neurosurgical care. Advanced Neurosurgical Technologies: Multidisciplinary Collaboration, Implementation, and Barriers explores how emerging neurosurgical technologies develop and integrate into clinical practice through collaboration among diverse medical, technical, and institutional stakeholders. It examines the practical, economic, and ethical challenges that influence their implementation, adoption, and accessibility across healthcare systems. This book covers topics such as disease prediction, medical technologies, and neurotechnology, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists.
