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Advanced Neurosurgical Technologies: Multidisciplinary Collaboration, Implementation, and Barriers - Couverture rigide

 
9798337362342: Advanced Neurosurgical Technologies: Multidisciplinary Collaboration, Implementation, and Barriers

Synopsis

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.

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À propos de l'auteur

Dr. Soobia Saeed is working as a lecturer, at Taylors University, Malaysia. Previously, she was a Director of ORIC at Sohail University formerly Jinnah Medical and Dental College (JMDC) and Assistant professor in Sohail university as well. she was leading an ethical review committee in JMDC and led many other industrial projects and pharmaceutical projects. She has an experience in pharmaceutical collaboration as well. She did Ph. D in computing engineering from Universiti Teknologi Malaysia (UTM), Malaysia. Her PhD thesis is relevant to Artificial intelligence in Healthcare. Her research interest in neurosurgery, oncology, neurosciences, and artificial intelligence encapsulating 90 impactful articles that contribute to the frontiers of knowledge in machine learning, artificial intelligence, computational neuroscience, bioinformatics and computing, and ubiquitous computing. This comprehensive body of work reflects her commitment to advancing the understanding and application of cutting-edge technologies to address contemporary challenges. The bulk of her contributions lies in machine learning, computational neurosciences, and artificial intelligence, where she has explored innovative approaches to address complex problems. These articles, published in journals indexed in the Emerging Sources Citation Index (ESCI), Science Citation Index (SCI), highlighting the clinical relevance and impact of my research in the medical domain and Institute for Scientific Information (ISI), underscoring the significance of her work in shaping the future computational neuroscience and other medical diseases solved by artificial intelligence.

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