AIMC Topic: Visual Field Tests

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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.
Male Middle Aged Myopia Mice Logistic Models Adult Cross-Sectional Studies Intraocular Pressure Animals Optic Disk Visual Fields Visual Field Tests Sclera Humans Neural Networks, Computer Glaucoma
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Feasibility of simple machine learning approaches to support detection of non-glaucomatous visual fields in future automated glaucoma clinics.

Eye (London, England) Mar 4, 2019
OBJECTIVES: To assess the performance of feed-forward back-propagation artificial neural networks (ANNs) in detecting field defects caused by pituitary disease from among a glaucomatous population.
Humans Neural Networks, Computer Glaucoma Machine Learning Feasibility Studies Visual Fields Visual Field Tests
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Machine learning models based on the dimensionality reduction of standard automated perimetry data for glaucoma diagnosis.

Artificial intelligence in medicine Feb 25, 2019
INTRODUCTION: Visual field testing via standard automated perimetry (SAP) is a commonly used glaucoma diagnosis method. Applying machine learning techniques to the visual field test results, a valid clinical diagnosis of glaucoma solely based on the ...
Automation Visual Field Tests Machine Learning Female Adult Male Humans Middle Aged Glaucoma
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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)...
Algorithms Retrospective Studies Female Aged Aged, 80 and over Humans Optic Disk Retinal Ganglion Cells Visual Fields Visual Field Tests Optic Nerve Diseases Deep Learning Photography Vision Disorders Glaucoma, Open-Angle Area Under Curve Cross-Sectional Studies Bruch Membrane Tomography, Optical Coherence Intraocular Pressure Nerve Fibers Male Middle Aged
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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...
Visual Fields Visual Field Tests Optic Nerve Diseases Photography Glaucoma, Open-Angle Humans Tomography, Optical Coherence Tonometry, Ocular Fundus Oculi Gonioscopy Algorithms Nerve Fibers Female Optic Disk Retinal Ganglion Cells Aged Middle Aged Aged, 80 and over Deep Learning Cross-Sectional Studies ROC Curve Intraocular Pressure Visual Acuity Male
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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)...
Japan Visual Fields Visual Field Tests Low Tension Glaucoma Intraocular Pressure Algorithms Male Forecasting Middle Aged Retrospective Studies Humans Asian People Female Machine Learning Aged
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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 Female Reproducibility of Results Aged Adult Sensitivity and Specificity Intraocular Pressure Male Middle Aged Deep Learning Humans Glaucoma, Open-Angle Nerve Fibers ROC Curve Gonioscopy Retinal Ganglion Cells Area Under Curve Visual Fields Tomography, Optical Coherence Visual Field Tests Datasets as Topic Transfer, Psychology
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Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning.

American journal of ophthalmology Jun 18, 2018
PURPOSE: Global indices of standard automated perimerty are insensitive to localized losses, while point-wise indices are sensitive but highly variable. Region-wise indices sit in between. This study introduces a machine learning-based index for glau...
Diagnosis, Computer-Assisted Humans Follow-Up Studies Glaucoma, Open-Angle Machine Learning Intraocular Pressure Vision Disorders Male Tonometry, Ocular Female Visual Fields Middle Aged Gonioscopy Visual Field Tests Aged Cross-Sectional Studies Disease Progression
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Development of machine learning models for diagnosis of glaucoma.

PloS one May 23, 2017
The study aimed to develop machine learning models that have strong prediction power and interpretability for diagnosis of glaucoma based on retinal nerve fiber layer (RNFL) thickness and visual field (VF). We collected various candidate features fro...
Decision Trees Humans Adult Area Under Curve Glaucoma Male Retina Middle Aged Machine Learning Datasets as Topic Diagnosis, Computer-Assisted Female Visual Field Tests ROC Curve
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Interpreting Deep Learning Studies in Glaucoma: Unresolved Challenges.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) May 13, 2025
Deep learning algorithms as tools for automated image classification have recently experienced rapid growth in imaging-dependent medical specialties, including ophthalmology. However, only a few algorithms tailored to specific health conditions have ...
Glaucoma Deep Learning Tomography, Optical Coherence Visual Field Tests Diagnostic Techniques, Ophthalmological Humans
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