AIMC Topic: Intraocular Pressure

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The usefulness of the Deep Learning method of variational autoencoder to reduce measurement noise in glaucomatous visual fields.

Scientific reports May 12, 2020
The aim of the study was to investigate the usefulness of processing visual field (VF) using a variational autoencoder (VAE). The training data consisted of 82,433 VFs from 16,836 eyes. Testing dataset 1 consisted of test-retest VFs from 104 eyes wit...
Intraocular Pressure Male Humans Middle Aged Female Disease Progression Reproducibility of Results Visual Fields Deep Learning Adult Linear Models Sensitivity and Specificity Visual Field Tests Eye Glaucoma, Open-Angle
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Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression.

American journal of ophthalmology May 6, 2020
PURPOSE: To predict the visual field (VF) of glaucoma patients within the central 10° from optical coherence tomography (OCT) measurements using deep learning and tensor regression.
Sensitivity and Specificity Cross-Sectional Studies Intraocular Pressure Male Middle Aged Humans Gonioscopy Visual Field Tests Retrospective Studies Slit Lamp Microscopy Optic Nerve Diseases Female Axial Length, Eye Glaucoma, Open-Angle Deep Learning Aged Visual Acuity Adult Vision Disorders Tomography, Optical Coherence Visual Fields
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Predicting Glaucoma before Onset Using Deep Learning.

Ophthalmology. Glaucoma Apr 29, 2020
PURPOSE: To assess the accuracy of deep learning models to predict glaucoma development from fundus photographs several years before disease onset.
Predictive Value of Tests Tomography, Optical Coherence Retinal Ganglion Cells Visual Fields Female Intraocular Pressure Male Middle Aged Deep Learning Humans Glaucoma Prospective Studies
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Using Deep Learning to Automate Goldmann Applanation Tonometry Readings.

Ophthalmology Apr 25, 2020
PURPOSE: To develop an objective and automated method for measuring intraocular pressure using deep learning and fixed-force Goldmann applanation tonometry (GAT) techniques.
Middle Aged Deep Learning ROC Curve Tonometry, Ocular Reproducibility of Results Aged Cross-Sectional Studies Intraocular Pressure Male Humans Glaucoma Prospective Studies Female
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Efficacy for Differentiating Nonglaucomatous Versus Glaucomatous Optic Neuropathy Using Deep Learning Systems.

American journal of ophthalmology Apr 2, 2020
PURPOSE: We sought to assess the performance of deep learning approaches for differentiating nonglaucomatous optic neuropathy with disc pallor (NGON) vs glaucomatous optic neuropathy (GON) on color fundus photographs by the use of image recognition.
Humans Sensitivity and Specificity Intraocular Pressure Male Deep Learning ROC Curve Neural Networks, Computer Glaucoma Algorithms Female Reproducibility of Results Area Under Curve Optic Disk Visual Field Tests Optic Nerve Diseases Photography
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Discriminating glaucomatous and compressive optic neuropathy on spectral-domain optical coherence tomography with deep learning classifier.

The British journal of ophthalmology Feb 25, 2020
BACKGROUND/AIMS: To assess the performance of a deep learning classifier for differentiation of glaucomatous optic neuropathy (GON) from compressive optic neuropathy (CON) based on ganglion cell-inner plexiform layer (GCIPL) and retinal nerve fibre l...
Humans Glaucoma Retrospective Studies Female Aged Intraocular Pressure Optic Nerve Diseases Male Tomography, Optical Coherence Middle Aged Deep Learning Nerve Fibers ROC Curve Optic Disk Follow-Up Studies Retinal Ganglion Cells Visual Fields
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Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model.

Scientific reports Feb 24, 2020
We developed a hybrid deep learning model (HDLM) algorithm that quantitatively predicts macular ganglion cell-inner plexiform layer (mGCIPL) thickness from red-free retinal nerve fiber layer photographs (RNFLPs). A total of 789 pairs of RNFLPs and sp...
Tomography, Optical Coherence Fundus Oculi Translational Research, Biomedical Retinal Ganglion Cells Diagnostic Techniques, Ophthalmological Refractometry Deep Learning ROC Curve Support Vector Machine Regression Analysis Optic Nerve Intraocular Pressure Male Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Humans Glaucoma Algorithms Retrospective Studies Young Adult Adult Sensitivity and Specificity Female Aged Aged, 80 and over
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Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 27, 2020
PURPOSE: To develop a deep learning approach based on deep residual neural network (ResNet101) for the automated detection of glaucomatous optic neuropathy (GON) using color fundus images, understand the process by which the model makes predictions, ...
Optic Nerve Diseases Diagnostic Techniques, Ophthalmological Deep Learning ROC Curve Tomography, Optical Coherence Optic Disk Retinal Ganglion Cells Humans Neural Networks, Computer Glaucoma Retrospective Studies Intraocular Pressure
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Improving the Structure-Function Relationship in Glaucomatous Visual Fields by Using a Deep Learning-Based Noise Reduction Approach.

Ophthalmology. Glaucoma Jan 11, 2020
PURPOSE: To investigate whether processing visual field (VF) measurements using a variational autoencoder (VAE) improves the structure-function relationship in glaucoma.
Nerve Fibers Optic Disk Retinal Ganglion Cells Visual Fields Glaucoma, Open-Angle Male Middle Aged Deep Learning Structure-Activity Relationship Humans Tomography, Optical Coherence Female Cross-Sectional Studies Intraocular Pressure
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Development and validation of a machine learning, smartphone-based tonometer.

The British journal of ophthalmology Dec 23, 2019
BACKGROUND/AIMS: To compare intraocular pressure (IOP) measurements using a prototype smartphone tonometer with other tonometers used in clinical practice.
Smartphone Adult Low Tension Glaucoma Humans Glaucoma, Open-Angle Machine Learning Intraocular Pressure Ocular Hypertension Female Male Glaucoma, Angle-Closure Reproducibility of Results Middle Aged Tonometry, Ocular Aged Pilot Projects
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