AIMC Topic: Hydrocephalus

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Predicting ventriculoperitoneal shunt infection in children with hydrocephalus using artificial neural network.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
OBJECTIVES: The relationships between shunt infection and predictive factors have not been previously investigated using Artificial Neural Network (ANN) model. The aim of this study was to develop an ANN model to predict shunt infection in a group of...

Deep Learning-based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly.

Radiology. Artificial intelligence
Fetal ventriculomegaly (VM) and its severity and associated central nervous system (CNS) abnormalities are important indicators of high risk for impaired neurodevelopmental outcomes. Recently, a novel fetal brain age prediction method using a two-dim...

Shunt Implants - Past, Present and Future.

Neurology India
BACKGROUND: The treatment of hydrocephalus has evolved over centuries from being an enigma to the use of complex bioprosthetics. Major developments have taken place in the past few decades in shunt hardware and technology, with the use of complex flo...

Robot-guided Ventriculoperitoneal Shunt in Slit-like Ventricles.

Neurology India
BACKGROUND: Ventriculoperitoneal shunt (VPS) is the most common procedure used in the management of hydrocephalus regardless of the etiology. The standard free-hand technique is used for the placement of VPS in patients with enlarged ventricles. In p...