AIMC Topic: Hydrocephalus, Normal Pressure

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Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer's disease biomarkers.

Fluids and barriers of the CNS Mar 3, 2025
PURPOSE: This study explores the application of machine learning to high-dimensional proteomics datasets for identifying Alzheimer's disease (AD) biomarkers. AD, a neurodegenerative disorder affecting millions worldwide, necessitates early and accura...
Alzheimer Disease Hydrocephalus, Normal Pressure Aged Aged, 80 and over Humans Male Machine Learning Proteomics Biomarkers Female
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Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence-Based 3D T1 MRI Volumetric Analysis.

AJNR. American journal of neuroradiology Jan 8, 2025
BACKGROUND AND PURPOSE: Idiopathic normal pressure hydrocephalus (iNPH) is reversible dementia that is underdiagnosed. The purpose of this study was to develop an automated diagnostic method for iNPH using artificial intelligence techniques with a T1...
Algorithms Female Aged Aged, 80 and over Humans Artificial Intelligence Male Imaging, Three-Dimensional Magnetic Resonance Imaging Parkinson Disease Alzheimer Disease Image Interpretation, Computer-Assisted Hydrocephalus, Normal Pressure
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Comprehensive Morphometric Analysis to Identify Key Neuroimaging Biomarkers for the Diagnosis of Adult Hydrocephalus Using Artificial Intelligence.

Neurosurgery Nov 7, 2024
BACKGROUND AND OBJECTIVES: Hydrocephalus involves abnormal cerebrospinal fluid accumulation in brain ventricles. Early and accurate diagnosis is crucial for timely intervention and preventing progressive neurological deterioration. The aim of this st...
Biomarkers Female Aged Adult Humans Artificial Intelligence Hydrocephalus Neuroimaging Cerebral Ventricles Male Hydrocephalus, Normal Pressure Middle Aged Deep Learning Magnetic Resonance Imaging
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Artificial Intelligence for Prediction of Shunt Response in Idiopathic Normal Pressure Hydrocephalus: A Systematic Review.

World neurosurgery Oct 10, 2024
BACKGROUND: Idiopathic normal pressure hydrocephalus (iNPH) is a reversible cause of dementia, typically treated with shunt surgery, although outcomes vary. Artificial intelligence (AI) advancements could improve predictions of shunt response (SR) by...
Humans Artificial Intelligence Machine Learning Treatment Outcome Cerebrospinal Fluid Shunts Hydrocephalus, Normal Pressure
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"Artificial intelligence-driven infection risk prediction in ventriculoperitoneal shunting: a novel approach for normal pressure hydrocephalus treatment".

Neurosurgical review Sep 24, 2024
Idiopathic normal pressure hydrocephalus (iNPH) affects approximately 1.5% of the population, with a higher prevalence in men than women. Ventriculoperitoneal shunting (VPS) is the standard treatment for iNPH, but it poses a notable risk of infection...
Artificial Intelligence Ventriculoperitoneal Shunt Hydrocephalus, Normal Pressure Humans
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Artificial Intelligence for Automatic Analysis of Shunt Treatment in Presurgery and Postsurgery Computed Tomography Brain Scans of Patients With Idiopathic Normal Pressure Hydrocephalus.

Neurosurgery Jun 6, 2024
BACKGROUND AND OBJECTIVES: Ventriculo-peritoneal shunt procedures can improve idiopathic normal pressure hydrocephalus (iNPH) symptoms. However, there are no automated methods that quantify the presurgery and postsurgery changes in the ventricular vo...
Aged, 80 and over Male Middle Aged Treatment Outcome Cerebral Ventricles Ventriculoperitoneal Shunt Hydrocephalus, Normal Pressure Brain Tomography, X-Ray Computed Female Aged Humans Artificial Intelligence
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A Soft Robotic Actuator System for In Vivo Modeling of Normal Pressure Hydrocephalus.

IEEE transactions on bio-medical engineering Feb 26, 2024
OBJECTIVE: The intracranial pressure (ICP) affects the dynamics of cerebrospinal fluid (CSF) and its waveform contains information that is of clinical importance in medical conditions such as hydrocephalus. Active manipulation of the ICP waveform cou...
Hydrocephalus, Normal Pressure Humans Animals Intracranial Pressure Robotics Blood Pressure Hydrocephalus Heart Rate Sheep
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Quantitative gait analysis of idiopathic normal pressure hydrocephalus using deep learning algorithms on monocular videos.

Scientific reports Jun 11, 2021
A vision-based gait analysis method using monocular videos was proposed to estimate temporo-spatial gait parameters by leveraging deep learning algorithms. This study aimed to validate vision-based gait analysis using GAITRite as the reference system...
Humans Deep Learning Algorithms Female Gait Analysis Prospective Studies Aged Hydrocephalus, Normal Pressure Republic of Korea Aged, 80 and over Vision, Monocular Male
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Using deep learning convolutional neural networks to automatically perform cerebral aqueduct CSF flow analysis.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia May 24, 2021
Since the development of phase-contrast magnetic resonance imaging (PC-MRI), quantification of cerebrospinal fluid (CSF) flow across the cerebral aqueduct has been utilized for diagnosis of conditions such as normal pressure hydrocephalus (NPH). This...
Humans Child Magnetic Resonance Imaging Hydrocephalus, Normal Pressure Aged Neural Networks, Computer Cerebral Aqueduct Aged, 80 and over Retrospective Studies Young Adult Female Adult Infant Cross-Sectional Studies Infant, Newborn Male Deep Learning Middle Aged Adolescent Child, Preschool
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A Novel Deep Learning Approach with a 3D Convolutional Ladder Network for Differential Diagnosis of Idiopathic Normal Pressure Hydrocephalus and Alzheimer's Disease.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Jan 22, 2020
PURPOSE: Idiopathic normal pressure hydrocephalus (iNPH) and Alzheimer's disease (AD) are geriatric diseases and common causes of dementia. Recently, many studies on the segmentation, disease detection, or classification of MRI using deep learning ha...
Pattern Recognition, Automated Neuroimaging Male Hydrocephalus, Normal Pressure Female Magnetic Resonance Imaging Middle Aged Reproducibility of Results Diagnosis, Differential Diagnosis, Computer-Assisted Humans Disease Progression Aged Deep Learning Case-Control Studies Artificial Intelligence Alzheimer Disease Aged, 80 and over Imaging, Three-Dimensional Brain Image Processing, Computer-Assisted
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