AIMC Topic: Neurosurgical Procedures
Clear Filters Showing 131 to 140 of 217 articles
Pedicle Screw Revision in Robot-Guided, Navigated, and Freehand Thoracolumbar Instrumentation: A Systematic Review and Meta-Analysis.
World neurosurgery
May 31, 2018
OBJECTIVE: Various computer-based guidance systems have been devised to reduce costly screw-related complications, yet their clinical effectiveness has never been comparatively assessed in a meta-analysis. We aimed to evaluate the incidence of clinic...
The inhibitory effect of functional lesions on eloquent brain areas: from research bench to operating bed.
The International journal of neuroscience
Apr 23, 2018
Functioning, but injured cerebral connections are hypothesized to inhibit cortical plasticity. Study of neural networks can validate this hypothesis, and provide further practical clues for clinical and surgical options to restore function in eloque...
MRI radiomics analysis of molecular alterations in low-grade gliomas.
International journal of computer assisted radiology and surgery
Dec 21, 2017
PURPOSE: Low-grade gliomas (LGG) are classified into three distinct groups based on their IDH1 mutation and 1p/19q codeletion status, each of which is associated with a different clinical expression. The genomic sub-classification of LGG requires tum...
An introduction and overview of machine learning in neurosurgical care.
Acta neurochirurgica
Nov 13, 2017
BACKGROUND: Machine learning (ML) is a branch of artificial intelligence that allows computers to learn from large complex datasets without being explicitly programmed. Although ML is already widely manifest in our daily lives in various forms, the c...
Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review.
World neurosurgery
Oct 3, 2017
OBJECTIVE: Accurate measurement of surgical outcomes is highly desirable to optimize surgical decision-making. An important element of surgical decision making is identification of the patient cohort that will benefit from surgery before the interven...
A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery.
Artificial intelligence in medicine
Jul 24, 2017
OBJECTIVES: Accurate reconstruction and visualisation of soft tissue deformation in real time is crucial in image-guided surgery, particularly in augmented reality (AR) applications. Current deformation models are characterised by a trade-off between...
Virtual wall-based haptic-guided teleoperated surgical robotic system for single-port brain tumor removal surgery.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Nov 18, 2016
This article presents a haptic-guided teleoperation for a tumor removal surgical robotic system, so-called a SIROMAN system. The system was developed in our previous work to make it possible to access tumor tissue, even those that seat deeply inside ...
Anatomical features of skull base and oral cavity: a pilot study to determine the accessibility of the sella by transoral robotic-assisted surgery.
Neurosurgical review
May 1, 2015
The role of transoral robotic surgery (TORS) in the skull base emerges and represents the natural progression toward miniinvasive resections in confined spaces. The accessibility of the sella via TORS has been recently described on fresh human cadave...
Stereotactic robotic application accuracy is very high in 'in vivo' procedures.
Stereotactic and functional neurosurgery
Jan 31, 2015
da Vinci robot-assisted keyhole neurosurgery: a cadaver study on feasibility and safety.
Neurosurgical review
Dec 18, 2014
The goal of this cadaver study was to evaluate the feasibility and safety of da Vinci robot-assisted keyhole neurosurgery. Several keyhole craniotomies were fashioned including supraorbital subfrontal, retrosigmoid and supracerebellar infratentorial....
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