AIMC Topic: Gonioscopy

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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...
Tonometry, Ocular Gonioscopy Retinal Ganglion Cells Visual Fields Visual Field Tests Optic Nerve Diseases Photography Glaucoma, Open-Angle Fundus Oculi Nerve Fibers Optic Disk ROC Curve Visual Acuity Tomography, Optical Coherence Aged Humans Aged, 80 and over Algorithms Cross-Sectional Studies Female Middle Aged Intraocular Pressure Deep Learning Male
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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.
Tomography, Optical Coherence Datasets as Topic Nerve Fibers Retinal Ganglion Cells Visual Fields Visual Field Tests Deep Learning ROC Curve Area Under Curve Intraocular Pressure Male Middle Aged Transfer, Psychology Glaucoma, Open-Angle Gonioscopy Humans Aged Adult Sensitivity and Specificity Glaucoma Female Reproducibility of Results
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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...
Tonometry, Ocular Male Diagnosis, Computer-Assisted Aged Humans Middle Aged Visual Fields Gonioscopy Follow-Up Studies Cross-Sectional Studies Machine Learning Disease Progression Visual Field Tests Vision Disorders Female Intraocular Pressure Glaucoma, Open-Angle
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[Application of artificial intelligence methods in the diagnosis and treatment of primary angle-closure disease].

Vestnik oftalmologii Jan 1, 2024
This article reviews literature on the use of artificial intelligence (AI) methods for the diagnosis and treatment of primary angle-closure disease (PACD). The review describes how AI techniques enhance the efficiency of population screening for ante...
Tomography, Optical Coherence Microscopy, Acoustic Glaucoma, Angle-Closure Gonioscopy Humans Artificial Intelligence Deep Learning
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Automatic Anterior Chamber Angle Classification Using Deep Learning System and Anterior Segment Optical Coherence Tomography Images.

Translational vision science & technology May 3, 2021
PURPOSE: The purpose of this study was to develop a software package for the automatic classification of anterior chamber angle using anterior segment optical coherence tomography (AS-OCT).
Glaucoma, Angle-Closure Humans Gonioscopy Deep Learning Anterior Chamber Tomography, Optical Coherence Malocclusion Anterior Eye Segment
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Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans.

JAMA ophthalmology Apr 1, 2020
IMPORTANCE: Conventional segmentation of the retinal nerve fiber layer (RNFL) is prone to errors that may affect the accuracy of spectral-domain optical coherence tomography (SD-OCT) scans in detecting glaucomatous damage.
Algorithms Female Aged Humans Intraocular Pressure Male Middle Aged Aged, 80 and over Adult Cross-Sectional Studies Visual Field Tests Slit Lamp Microscopy Nerve Fibers Glaucoma, Open-Angle Deep Learning Retinal Ganglion Cells ROC Curve Gonioscopy Visual Fields Tomography, Optical Coherence
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