Results 51 to 60 of about 521,894 (411)
Machine Learning Distinguishes Neurosurgical Skill Levels in a Virtual Reality Tumor Resection Task [PDF]
, 2018 Background: Virtual reality simulators and machine learning have the potential to augment understanding, assessment and training of psychomotor performance in neurosurgery residents. Objective: This study outlines the first application of machine learning to distinguish "skilled" and "novice" psychomotor performance during a virtual reality ...
arxiv +1 more source
Path Planning for Concentric Tube Robots: a Toolchain with Application to Stereotactic Neurosurgery [PDF]
arXiv, 2022 We present a toolchain for solving path planning problems for concentric tube robots through obstacle fields. First, ellipsoidal sets representing the target area and obstacles are constructed from labelled point clouds. Then, the nonlinear and highly nonconvex optimal control problem is solved by introducing a homotopy on the obstacle positions where ...
arxiv
Getting the best outcomes from epilepsy surgery. [PDF]
, 2018 Neurosurgery is an underutilized treatment that can potentially cure drug-refractory epilepsy. Careful, multidisciplinary presurgical evaluation is vital for selecting patients and to ensure optimal outcomes.
Duncan, John S +5 more
core
Clinical and Translational Neuroscience, 2021 On behalf of Swiss Society of Neurosurgery together with Association of neurosurgical nursing staff Switzerland, we are pleased to present the Abstracts of the 2021 Annual Meeting, that was held virtually from 16–17 September 2021.
Raphael Guzman
doaj +1 more source
End-to-End assessment of AR-assisted neurosurgery systems [PDF]
arXiv, 2023 Augmented Reality (AR) has emerged as a significant advancement in surgical procedures, offering a solution to the challenges posed by traditional neuronavigation methods. These conventional techniques often necessitate surgeons to split their focus between the surgical site and a separate monitor that displays guiding images.
arxiv
Machine learning in neurosurgery: a global survey
Acta Neurochirurgica, 2020 Recent technological advances have led to the development and implementation of machine learning (ML) in various disciplines, including neurosurgery.
V. Staartjes +10 more
semanticscholar +1 more source
Spatially Adaptive Variable Screening in Presurgical fMRI Data Analysis [PDF]
arXiv, 2023 Accurate delineation of tumor-adjacent functional brain regions is essential for planning function-preserving neurosurgery. Functional magnetic resonance imaging (fMRI) is increasingly used for presurgical counseling and planning. When analyzing presurgical fMRI data, false negatives are more dangerous to the patients than false positives because ...
arxiv
Review of global neurosurgery education: Horizon of Neurosurgery in the Developing Countries
Chinese Neurosurgical Journal, 2020 Globally, the discipline of neurosurgery has evolved remarkably fast. Despite being one of the latest medical specialties, which appeared only around hundred years ago, it has witnessed innovations in the aspects of diagnostics methods, macro and micro ...
Y. Kato +26 more
semanticscholar +1 more source
Gender disparity in German neurosurgery.
Journal of Neurosurgery, 2021 OBJECTIVE Despite the rising number of women in higher education and leadership positions, the proportional rise of female neurosurgeons still lags behind these fields.
M. Forster +5 more
semanticscholar +1 more source