AIMC Topic: Glaucoma, Open-Angle

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Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning.

Scientific reports Aug 18, 2022
Primary open-angle glaucoma (POAG) is a leading cause of irreversible blindness worldwide. Although deep learning methods have been proposed to diagnose POAG, it remains challenging to develop a robust and explainable algorithm to automatically facil...
Intraocular Pressure Deep Learning Visual Field Tests Glaucoma, Open-Angle Ocular Hypertension Humans Glaucoma
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Open-source deep learning-based automatic segmentation of mouse Schlemm's canal in optical coherence tomography images.

Experimental eye research Nov 16, 2021
The purpose of this study was to develop an automatic deep learning-based approach and corresponding free, open-source software to perform segmentation of the Schlemm's canal (SC) lumen in optical coherence tomography (OCT) scans of living mouse eyes...
Mice Mice, Inbred C57BL Tomography, Optical Coherence Anterior Eye Segment Glaucoma, Open-Angle Algorithms Intraocular Pressure Animals Neural Networks, Computer Deep Learning Tonometry, Ocular Sclera
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Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy.

Ophthalmology Jul 30, 2021
PURPOSE: To develop and validate a multimodal artificial intelligence algorithm, FusionNet, using the pattern deviation probability plots from visual field (VF) reports and circular peripapillary OCT scans to detect glaucomatous optic neuropathy (GON...
Humans Machine Learning Algorithms Female Area Under Curve Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Visual Fields Male Visual Field Tests Optic Nerve Diseases Middle Aged Glaucoma, Open-Angle ROC Curve Vision Disorders Aged Multimodal Imaging Adult Cross-Sectional Studies Intraocular Pressure
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Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology.

American journal of human genetics Jun 1, 2021
Genome-wide association studies (GWASs) require accurate cohort phenotyping, but expert labeling can be costly, time intensive, and variable. Here, we develop a machine learning (ML) model to predict glaucomatous optic nerve head features from color ...
Humans Machine Learning Phenotype Risk Assessment Genome-Wide Association Study Glaucoma, Open-Angle Datasets as Topic Optic Disk Fluorescein Angiography Models, Anatomic
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Machine Learning Approach for Intraocular Disease Prediction Based on Aqueous Humor Immune Mediator Profiles.

Ophthalmology Jan 21, 2021
PURPOSE: Various immune mediators have crucial roles in the pathogenesis of intraocular diseases. Machine learning can be used to automatically select and weigh various predictors to develop models maximizing predictive power. However, these techniqu...
Aqueous Humor Intraocular Lymphoma Male Eye Diseases Retinal Necrosis Syndrome, Acute Middle Aged Endophthalmitis Diagnosis, Computer-Assisted Reproducibility of Results Glaucoma, Open-Angle Interleukins ROC Curve Retinal Detachment Aged Humans Area Under Curve Aged, 80 and over Immunoassay Machine Learning Adult Flow Cytometry Female Cross-Sectional Studies Inflammation Mediators
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Aqueous autotaxin and TGF-βs are promising diagnostic biomarkers for distinguishing open-angle glaucoma subtypes.

Scientific reports Jan 14, 2021
The purpose of this study is to examine if aqueous autotaxin (ATX) and TGF-β levels could be used for differentiating glaucoma subtypes. This prospective observational study was performed using aqueous humor samples obtained from 281 consecutive pati...
Transforming Growth Factor beta Phosphoric Diester Hydrolases Glaucoma, Open-Angle Aqueous Humor Machine Learning Prospective Studies Biomarkers Female Aged Aged, 80 and over Adult Male Middle Aged Humans
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Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data.

Ophthalmology Dec 25, 2020
PURPOSE: Rule-based approaches to determining glaucoma progression from visual fields (VFs) alone are discordant and have tradeoffs. To detect better when glaucoma progression is occurring, we used a longitudinal data set of merged VF and clinical da...
Aged Intraocular Pressure Male Disease Progression Clinical Competence ROC Curve Follow-Up Studies Visual Fields Ophthalmologists Machine Learning Algorithms Retrospective Studies Female Humans Glaucoma Glaucoma, Open-Angle
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Deep learning classification of early normal-tension glaucoma and glaucoma suspects using Bruch's membrane opening-minimum rim width and RNFL.

Scientific reports Nov 4, 2020
We aimed to classify early normal-tension glaucoma (NTG) and glaucoma suspect (GS) using Bruch's membrane opening-minimum rim width (BMO-MRW), peripapillary retinal nerve fiber layer (RNFL), and the color classification of RNFL based on a deep-learni...
Bruch Membrane Humans Low Tension Glaucoma Female Adult Area Under Curve Intraocular Pressure Middle Aged Tomography, Optical Coherence Male Deep Learning Retina ROC Curve Diagnostic Techniques, Ophthalmological Image Processing, Computer-Assisted Glaucoma, Open-Angle
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OCT Signal Enhancement with Deep Learning.

Ophthalmology. Glaucoma Oct 15, 2020
PURPOSE: To establish whether deep learning methods are able to improve the signal-to-noise ratio of time-domain (TD) OCT images to approach that of spectral-domain (SD) OCT images.
Tomography, Optical Coherence Double-Blind Method Humans Bayes Theorem Deep Learning Glaucoma, Open-Angle
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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...
Disease Progression Deep Learning Sensitivity and Specificity Humans Visual Fields Intraocular Pressure Visual Field Tests Linear Models Female Male Eye Reproducibility of Results Middle Aged Glaucoma, Open-Angle Adult
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