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Springer Machine Learning in Clinical Neuroscience - Springer Acta 134

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9783030852917

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Description

Machine Learning in Clinical Neuroscience: Foundations and Applications is volume 134 in the Acta Neurochirurgica Supplement series, published by Springer. This comprehensive resource bridges cutting-edge machine learning techniques with practical clinical applications in neuroscience and neurological surgery. The book addresses both foundational concepts and real-world implementations, making it valuable for neurosurgeons, neurologists, researchers, and healthcare professionals seeking to understand how artificial intelligence and machine learning are transforming diagnostic accuracy, treatment planning, and patient outcomes in clinical neuroscience. Ideal for academic institutions, medical centres, and professionals staying current with technological advances in neurological practice.

Key Features

Volume 134 in the established Acta Neurochirurgica Supplement series, ensuring peer-reviewed scientific rigour and clinical relevance.

Covers both foundational machine learning principles and real-world applications specific to clinical neuroscience practice.

Published by Springer, a leading academic publisher with expertise in medical and scientific literature.

Combines theoretical knowledge with practical case studies and examples from neurological surgery and diagnosis.

Designed for neurosurgeons, neurologists, researchers, and healthcare professionals implementing AI in clinical settings.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 December 2021
Listed Since
20 August 2020

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