AIMC Topic: Glaucoma, Open-Angle

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Multimodal Deep Learning Classifier for Primary Open Angle Glaucoma Diagnosis Using Wide-Field Optic Nerve Head Cube Scans in Eyes With and Without High Myopia.

Journal of glaucoma Jul 19, 2023
PRCIS: An optical coherence tomography (OCT)-based multimodal deep learning (DL) classification model, including texture information, is introduced that outperforms single-modal models and multimodal models without texture information for glaucoma di...
Deep Learning Tomography, Optical Coherence Optic Disk Retinal Ganglion Cells Glaucoma, Open-Angle Humans Intraocular Pressure Myopia
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Deep Learning-Based Noise Reduction Improves Optical Coherence Tomography Angiography Imaging of Radial Peripapillary Capillaries in Advanced Glaucoma.

Current eye research Sep 22, 2022
PURPOSE: We applied deep learning-based noise reduction (NR) to optical coherence tomography-angiography (OCTA) images of the radial peripapillary capillaries (RPCs) in eyes with glaucoma and investigated the usefulness of this method as an objective...
Optic Disk Visual Fields Angiography Fluorescein Angiography Retinal Vessels Glaucoma, Open-Angle Capillaries Humans Male Glaucoma Middle Aged Female Deep Learning Reproducibility of Results Tomography, Optical Coherence Aged Cross-Sectional Studies Intraocular Pressure
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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...
Glaucoma, Open-Angle Ocular Hypertension Humans Glaucoma Intraocular Pressure Deep Learning Visual Field Tests
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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...
Animals Deep Learning Mice Mice, Inbred C57BL Tomography, Optical Coherence Neural Networks, Computer Algorithms Intraocular Pressure Anterior Eye Segment Glaucoma, Open-Angle 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...
Nerve Fibers Retinal Ganglion Cells Visual Fields Visual Field Tests Optic Nerve Diseases Vision Disorders Multimodal Imaging Area Under Curve Tomography, Optical Coherence Glaucoma, Open-Angle Algorithms Female Aged Adult Cross-Sectional Studies Intraocular Pressure Male Middle Aged ROC Curve Humans Machine Learning
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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 ...
Fluorescein Angiography Models, Anatomic Glaucoma, Open-Angle Risk Assessment Humans Genome-Wide Association Study Machine Learning Datasets as Topic Phenotype Optic Disk
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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...
Area Under Curve Immunoassay Flow Cytometry Inflammation Mediators Eye Diseases Endophthalmitis Glaucoma, Open-Angle Humans Retinal Detachment Machine Learning Aqueous Humor Female Male Aged Intraocular Lymphoma Reproducibility of Results Middle Aged Retinal Necrosis Syndrome, Acute Aged, 80 and over Diagnosis, Computer-Assisted Adult ROC Curve Cross-Sectional Studies Interleukins
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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...
Adult Male Middle Aged Transforming Growth Factor beta Prospective Studies Humans Phosphoric Diester Hydrolases Glaucoma, Open-Angle Biomarkers Machine Learning Aqueous Humor Female Aged Aged, 80 and over
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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 Humans Machine Learning Glaucoma Disease Progression Glaucoma, Open-Angle ROC Curve Follow-Up Studies Clinical Competence Visual Fields Ophthalmologists Algorithms Retrospective Studies Female
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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...
Area Under Curve Male Humans Tomography, Optical Coherence Middle Aged Retina Glaucoma, Open-Angle Female Deep Learning Diagnostic Techniques, Ophthalmological Adult Bruch Membrane ROC Curve Intraocular Pressure Low Tension Glaucoma Image Processing, Computer-Assisted
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