AIMC Topic: Glaucoma, Open-Angle

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Mathematical Modeling and Artificial Intelligence to Explore Connections Between Glaucoma and the Gut Microbiome.

Medicina (Kaunas, Lithuania) Feb 14, 2025
Glaucoma is a major cause of irreversible blindness, with primary open-angle glaucoma (POAG) being the most prevalent form. While elevated intraocular pressure (IOP) is a well-known risk factor for POAG, emerging evidence suggests that the human gut...
Glaucoma Artificial Intelligence Models, Theoretical Gastrointestinal Microbiome Glaucoma, Open-Angle Humans
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Validation of a Visual Field Prediction Tool for Glaucoma: A Multicenter Study Involving Patients With Glaucoma in the United Kingdom.

American journal of ophthalmology Jan 13, 2025
PURPOSE: A previously developed machine-learning approach with Kalman filtering technology accurately predicted the disease trajectory for patients with various glaucoma types and severities using clinical trial data. This study assesses performance ...
Intraocular Pressure Male Middle Aged Follow-Up Studies Predictive Value of Tests Machine Learning Retrospective Studies Female Reproducibility of Results Aged United Kingdom Visual Fields Visual Field Tests Glaucoma, Open-Angle Humans
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Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model.

The British journal of ophthalmology Nov 22, 2024
BACKGROUND/AIMS: To design a deep learning (DL) model for the detection of glaucoma progression with a longitudinal series of macular optical coherence tomography angiography (OCTA) images.
Humans Tomography, Optical Coherence Optic Disk Middle Aged Retinal Ganglion Cells Retrospective Studies Disease Progression Visual Fields Fluorescein Angiography Female Deep Learning Macula Lutea Visual Field Tests Aged ROC Curve Retinal Vessels Follow-Up Studies Glaucoma, Open-Angle Intraocular Pressure Male
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Identifying Factors Associated With Fast Visual Field Progression in Patients With Ocular Hypertension Based on Unsupervised Machine Learning.

Journal of glaucoma Aug 5, 2024
PRCIS: We developed unsupervised machine learning models to identify different subtypes of patients with ocular hypertension in terms of visual field (VF) progression and discovered 4 subtypes with different trends of VF worsening. We then identified...
Risk Factors Aged Cross-Sectional Studies Intraocular Pressure Male Humans Female Visual Fields Visual Field Tests Glaucoma, Open-Angle Ocular Hypertension Middle Aged Disease Progression Follow-Up Studies Unsupervised Machine Learning Vision Disorders
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Progression or Aging? A Deep Learning Approach for Distinguishing Glaucoma Progression From Age-Related Changes in OCT Scans.

American journal of ophthalmology May 3, 2024
PURPOSE: To develop deep learning (DL) algorithm to detect glaucoma progression using optical coherence tomography (OCT) images, in the absence of a reference standard.
Visual Fields Optic Nerve Diseases Glaucoma, Open-Angle Male Aging Middle Aged Disease Progression Algorithms Deep Learning Retrospective Studies Follow-Up Studies Female Tomography, Optical Coherence Humans Aged Nerve Fibers Neural Networks, Computer Intraocular Pressure Optic Disk Glaucoma Retinal Ganglion Cells
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Recognition of Glaucomatous Fundus Images Using Machine Learning Methods Based on Optic Nerve Head Topographic Features.

Journal of glaucoma Mar 29, 2024
PRCIS: Machine learning classifiers are an effective approach to detecting glaucomatous fundus images based on optic disc topographic features making it a straightforward and effective approach.
Humans Glaucoma Machine Learning Retrospective Studies Female Aged Intraocular Pressure Male Middle Aged Case-Control Studies Fundus Oculi Optic Disk Optic Nerve Diseases Glaucoma, Open-Angle
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Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data.

Indian journal of ophthalmology Mar 8, 2024
OBJECTIVE: To develop machine learning (ML) models, using pre and intraoperative surgical parameters, for predicting trabeculectomy outcomes in the eyes of patients with juvenile-onset primary open-angle glaucoma (JOAG) undergoing primary surgery.
Intraocular Pressure Trabeculectomy Male Adolescent Time Factors Machine Learning ROC Curve Humans Child Retrospective Studies Treatment Outcome Female Follow-Up Studies Young Adult Glaucoma, Open-Angle Adult Gonioscopy
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Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning.

American journal of ophthalmology Feb 12, 2024
PURPOSE: Identifying glaucoma patients at high risk of progression based on widely available structural data is an unmet task in clinical practice. We test the hypothesis that baseline or serial structural measures can predict visual field (VF) progr...
Retinal Ganglion Cells Visual Fields Humans Visual Field Tests Optic Nerve Diseases Glaucoma Glaucoma, Open-Angle Algorithms Vision Disorders Middle Aged Area Under Curve Disease Progression Tomography, Optical Coherence Retrospective Studies Deep Learning Nerve Fibers Female ROC Curve Optic Disk Aged Follow-Up Studies Intraocular Pressure Male
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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...
Retinal Ganglion Cells Glaucoma, Open-Angle Intraocular Pressure Myopia Deep Learning Humans Tomography, Optical Coherence Optic Disk
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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...
Deep Learning Tomography, Optical Coherence Optic Disk Humans Fluorescein Angiography Aged Visual Fields Glaucoma Retinal Vessels Angiography Cross-Sectional Studies Female Glaucoma, Open-Angle Intraocular Pressure Reproducibility of Results Capillaries Male Middle Aged
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