Titlebook: Computational Neurosurgery; Antonio Di Ieva,Eric Suero Molina,Carlo Russo Book 2024 The Editor(s) (if applicable) and The Author(s), under

Myosin

The Black Messiah and Black Sufferingof various AI techniques, their varied applications, and the challenges that arise within this dynamic field. Importantly, this chapter is crafted as a crucial primer for medical practitioners and students striving to connect sophisticated AI theories with their concrete applications.

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Authenticity in the Philosophy of Nietzscheted intelligence (AI+) framework to be implemented in modern and future healthcare, aimed to improve the knowledge of the brain, in all its physiopathological spectrum, and to enhance the understanding and treatment of neurological and neurosurgical diseases.

Harpoon

Corneal Manifestations of Metabolic Disease as liquid biopsy, machine learning, radiomic analysis, computer vision, and label-free optical imaging, aim to revolutionize skull base surgery. AI-driven advancements promise safer, more precise, and effective surgeries, improving patient outcomes and preoperative assessment.

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調(diào)色板

Artificial Intelligence, Radiomics, and Computational Modeling in Skull Base Surgery as liquid biopsy, machine learning, radiomic analysis, computer vision, and label-free optical imaging, aim to revolutionize skull base surgery. AI-driven advancements promise safer, more precise, and effective surgeries, improving patient outcomes and preoperative assessment.

階層

Computational Neurosurgery: Foundation,tment, and prognosis of patients affected by diseases of neurosurgical relevance. By laying the foundations of the field, this chapter summarizes the main aspects and implications of artificial intelligence in the clinical neurosciences, with particular emphasis on the necessity to provide an augmen

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磨坊

Artificial Intelligence Methodsaddressing contemporary healthcare challenges. This chapter aims to provide an overview of AI methodologies, centering on the foundational principles of various AI techniques, their varied applications, and the challenges that arise within this dynamic field. Importantly, this chapter is crafted as

玩忽職守

Deep Learning: A Primer for Neurosurgeonse, surgical planning, execution, and postoperative assessment. It delves into various deep learning architectures, including convolutional and recurrent neural networks, and their applications in analyzing neuroimaging data for brain tumors, spinal cord injuries, and other neurological conditions. T