Computational Neurosurgery / edited by Antonio Di Ieva, Eric Suero Molina, Sidong Liu, Carlo Russo.

Format:

Book

Author/Creator:

Di Ieva, Antonio.

Contributor:

Suero Molina, Eric.

Liu, Sidong.

Russo, Carlo.

Series:

Advances in Experimental Medicine and Biology, 2214-8019 ; 1462

Language:

English

Subjects (All):

Computational neuroscience.

Nervous system--Surgery.

Nervous system.

Artificial intelligence.

Computational Neuroscience.

Neurosurgery.

Artificial Intelligence.

Local Subjects:

Computational Neuroscience.

Neurosurgery.

Artificial Intelligence.

Physical Description:

1 online resource (561 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This comprehensive and authoritative reference presents the state-of-the-art computational methods applied to the field of neurosurgery. The book brings together leading neuroscientists, neurosurgeons, mathematicians, computer scientists, engineers, ethicists and lawyers, to open the new frontier of computational neurosurgery to a broad audience interested in the translational field of the application of computational models, such as deep learning, to the study of the brain and the practical applications of neurosurgery. The focus is primarily clinical, and there is a solid foundation of research aspects. With forewords by Michael L.J. Apuzzo and Enrico Coiera, the book is organized into 2 sections: (1) tenets of computational modeling, artificial intelligence, computational analysis, and analysis software; (2) computational neurosurgery applications, including neurodiagnostics, neuro-oncology, vascular neurosurgery, all the neurosurgical disciplines, surgical approaches, intraoperative applications, and ethics and legal aspects.

Contents:

Computational Neurosurgery: Foundation

Part I: Foundations of Computational Neurosurgery

Declaration of Computational Neurosurgery

Artificial Intelligence Methods

Deep Learning: A Primer for Neurosurgeons

Mathematical background of Machine Learning & Deep Learning

Computational fractal-based Neurosurgery

Graph theory and modeling of network topology in clinical neurosurgery

Computer Vision in digital neuropathology

Bayesian Neural Networks in predictive neurosurgery

Big data in neurosurgery

Large Language Models in Neurosurgery

Part II: Computational Neurosurgery Applications & Translational Aspects

AI and deep learning in brain tumors

Meta-transfer Learning for Brain Tumor Segmentation: Within and Beyond Glioma

Machine learning and radiomics in gliomas

Machine Learning in fluorescence-guided brain tumor surgery

AI and computational modeling in skull base surgery

Applications and Integration of Radiomics for Skull Base Oncology

Computational modeling and AI in radiation neuro-oncology and radiosurgery

Multimodal neuroimaging computing: Basics and applications in neurosurgery

The Brain Connectome for Clinical Neuroscience

Augmented reality in neurosurgery

Virtual and Augmented Reality in neurosurgery

Machine Intelligence in cerebrovascular and endovascular neurosurgery

Computational fluid dynamics in vascular neurosurgery

Computational fluid dynamics of cerebrospinal fluid

Computational Neurosurgery in Deep Brain Stimulation

Computational modeling, augmented reality, and Artificial Intelligence in spine surgery

Artificial Intelligence in spine and paravertebral muscles analysis

Computational prognostic modeling in traumatic brain injury

Comprehensive overview of computational modeling and artificial intelligence in pediatric neurosurgery

Machine Learning in Pain Neuromodulation

Neurosurgery and the brain computer interface

Ethical aspects of computational neurosurgery

Explainable AI and Laws in Computational neurosurgery.

ISBN:

9783031648922

3031648927