Saeed soobia (48 risultati)

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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: As New. Unread book in perfect condition.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Hardback. Condizione: New.

Hardback. Condizione: New.

Hardback. Condizione: New.

Paperback. Condizione: new. Paperback. Artificial intelligence (AI) transforms neurosurgery by enhancing surgical training and clinical decision-making. Through advanced machine learning algorithms, computer vision, and data-driven predictive models, AI-assisted systems analyze complex neurological data, simulate surgical procedures, and provide real-time guidance during operations. In neurosurgical education, these technologies offer immersive training environments, personalized feedback, and skill assessment tools that help refine techniques with greater precision and safety. AI-powered decision support systems improve diagnostic accuracy, treatment planning, and patient outcome prediction, enabling clinicians to make more informed and timely decisions. As neurosurgery evolves alongside digital innovation, AI emerges as a powerful tool that may further improve surgical performance, reduce risks, and advance patient care. AI-Assisted Neurosurgical Training and Decision Support explores the application of AI, simulation technologies, robotics, and extended reality in changing the neurosurgery education and intraoperative decision-making landscape. It examines the need for trained neurosurgeons in AI-powered healthcare settings. This book covers topics such as neuroscience, deep learning, and data science, and is a useful resource for engineers, medical and healthcare professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condizione: new. Hardcover. Artificial intelligence (AI) transforms neurosurgery by enhancing surgical training and clinical decision-making. Through advanced machine learning algorithms, computer vision, and data-driven predictive models, AI-assisted systems analyze complex neurological data, simulate surgical procedures, and provide real-time guidance during operations. In neurosurgical education, these technologies offer immersive training environments, personalized feedback, and skill assessment tools that help refine techniques with greater precision and safety. AI-powered decision support systems improve diagnostic accuracy, treatment planning, and patient outcome prediction, enabling clinicians to make more informed and timely decisions. As neurosurgery evolves alongside digital innovation, AI emerges as a powerful tool that may further improve surgical performance, reduce risks, and advance patient care. AI-Assisted Neurosurgical Training and Decision Support explores the application of AI, simulation technologies, robotics, and extended reality in changing the neurosurgery education and intraoperative decision-making landscape. It examines the need for trained neurosurgeons in AI-powered healthcare settings. This book covers topics such as neuroscience, deep learning, and data science, and is a useful resource for engineers, medical and healthcare professionals, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…