AIMC Topic: Intraocular Pressure

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Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes.

Ophthalmology. Glaucoma Nov 8, 2019
PURPOSE: The purpose of this study was to develop a machine learning model to forecast future circumpapillary retinal nerve fiber layer (cpRNFL) thickness in eyes of healthy, glaucoma suspect, and glaucoma participants from multimodal temporal data.
Male Middle Aged Aged Follow-Up Studies Humans Aged, 80 and over Tomography, Optical Coherence Glaucoma Young Adult Nerve Fibers Forecasting Adult Optic Disk Retrospective Studies Intraocular Pressure Retinal Ganglion Cells Female Visual Fields
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The impact of artificial intelligence in the diagnosis and management of glaucoma.

Eye (London, England) Sep 20, 2019
Deep learning (DL) is a subset of artificial intelligence (AI), which uses multilayer neural networks modelled after the mammalian visual cortex capable of synthesizing images in ways that will transform the field of glaucoma. Autonomous DL algorithm...
Glaucoma Artificial Intelligence Algorithms Intraocular Pressure Animals Visual Fields Humans
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Machine Learning Models for Diagnosing Glaucoma from Retinal Nerve Fiber Layer Thickness Maps.

Ophthalmology. Glaucoma Aug 23, 2019
PURPOSE: To assess the diagnostic accuracy of multiple machine learning models using full retinal nerve fiber layer (RNFL) thickness maps in detecting glaucoma.
Female Aged Intraocular Pressure Male Case-Control Studies Tomography, Optical Coherence Humans Glaucoma Machine Learning Nerve Fibers Optic Disk Retinal Ganglion Cells Visual Fields
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Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images.

American journal of ophthalmology Aug 22, 2019
PURPOSE: To develop and test deep learning classifiers that detect gonioscopic angle closure and primary angle closure disease (PACD) based on fully automated analysis of anterior segment OCT (AS-OCT) images.
Glaucoma, Angle-Closure Gonioscopy Female Humans Aged Neural Networks, Computer Aged, 80 and over Prospective Studies Intraocular Pressure Male Middle Aged Deep Learning ROC Curve Area Under Curve Tomography, Optical Coherence Anterior Eye Segment
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Machine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records.

American journal of ophthalmology Jul 16, 2019
PURPOSE: To predict the need for surgical intervention in patients with primary open-angle glaucoma (POAG) using systemic data in electronic health records (EHRs).
Reproducibility of Results Aged Aged, 80 and over Sensitivity and Specificity Intraocular Pressure Male Humans Machine Learning Retrospective Studies Electronic Health Records Female Glaucoma, Open-Angle Filtering Surgery Middle Aged Disease Progression ROC Curve Models, Statistical Odds Ratio
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Posterior scleral deformations around optic disc are associated with visual field damage in open-angle glaucoma patients with myopia.

PloS one Mar 15, 2019
PURPOSE: To identify important variables associated with visual field (VF) defects in open-angle glaucoma (OAG) with myopia.
Humans Neural Networks, Computer Glaucoma Adult Cross-Sectional Studies Intraocular Pressure Animals Optic Disk Visual Fields Visual Field Tests Sclera Male Middle Aged Myopia Mice Logistic Models
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A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs.

American journal of ophthalmology Jan 26, 2019
PURPOSE: To train a deep learning (DL) algorithm that quantifies glaucomatous neuroretinal damage on fundus photographs using the minimum rim width relative to Bruch membrane opening (BMO-MRW) from spectral-domain optical coherence tomography (SDOCT)...
Visual Fields Visual Field Tests Optic Nerve Diseases Photography Glaucoma, Open-Angle Bruch Membrane Area Under Curve Tomography, Optical Coherence Nerve Fibers Optic Disk Retinal Ganglion Cells Algorithms Retrospective Studies Female Aged Aged, 80 and over Cross-Sectional Studies Intraocular Pressure Male Middle Aged Deep Learning Vision Disorders Humans
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From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs.

Ophthalmology Dec 20, 2018
PURPOSE: Previous approaches using deep learning (DL) algorithms to classify glaucomatous damage on fundus photographs have been limited by the requirement for human labeling of a reference training set. We propose a new approach using quantitative s...
Humans Algorithms Female Aged Photography Aged, 80 and over Glaucoma, Open-Angle Cross-Sectional Studies Tonometry, Ocular Intraocular Pressure Gonioscopy Male Middle Aged Nerve Fibers Deep Learning Optic Disk ROC Curve Retinal Ganglion Cells Visual Acuity Visual Fields Tomography, Optical Coherence Visual Field Tests Fundus Oculi Optic Nerve Diseases
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Using Kalman Filtering to Forecast Disease Trajectory for Patients With Normal Tension Glaucoma.

American journal of ophthalmology Oct 16, 2018
PURPOSE: To determine whether a machine learning technique called Kalman filtering (KF) can accurately forecast future values of mean deviation (MD), pattern standard deviation, and intraocular pressure for patients with normal tension glaucoma (NTG)...
Male Middle Aged Asian People Japan Visual Fields Visual Field Tests Forecasting Retrospective Studies Female Aged Intraocular Pressure Low Tension Glaucoma Humans Machine Learning Algorithms
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Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images.

American journal of ophthalmology Oct 12, 2018
PURPOSE: We sought to construct and evaluate a deep learning (DL) model to diagnose early glaucoma from spectral-domain optical coherence tomography (OCT) images.
Glaucoma, Open-Angle Gonioscopy Aged Nerve Fibers Adult Retinal Ganglion Cells Deep Learning Sensitivity and Specificity Visual Fields ROC Curve Intraocular Pressure Visual Field Tests Area Under Curve Male Transfer, Psychology Middle Aged Tomography, Optical Coherence Datasets as Topic Humans Glaucoma Female Reproducibility of Results
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