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 ...
Humans Intraocular Pressure Male United Kingdom Middle Aged Machine Learning Follow-Up Studies Retrospective Studies Visual Fields Predictive Value of Tests Female Visual Field Tests Reproducibility of Results Glaucoma, Open-Angle Aged
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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 Middle Aged Fluorescein Angiography Retrospective Studies Macula Lutea Optic Disk Disease Progression Female Retinal Vessels Retinal Ganglion Cells Deep Learning Aged Glaucoma, Open-Angle Visual Fields ROC Curve Intraocular Pressure Follow-Up Studies Male Visual Field Tests
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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 Deep Learning Follow-Up Studies Tomography, Optical Coherence Nerve Fibers Optic Disk Retinal Ganglion Cells Algorithms Retrospective Studies Female Aged Intraocular Pressure Humans Neural Networks, Computer Glaucoma
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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 Machine Learning Retrospective Studies Adolescent ROC Curve Humans Female Time Factors Treatment Outcome Young Adult Child Follow-Up Studies Adult Glaucoma, Open-Angle 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 Visual Field Tests Optic Nerve Diseases Humans Glaucoma, Open-Angle Middle Aged Retrospective Studies Vision Disorders Glaucoma Disease Progression Female Area Under Curve Deep Learning Algorithms Aged Tomography, Optical Coherence ROC Curve Intraocular Pressure Nerve Fibers Follow-Up Studies Male Optic Disk
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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 Intraocular Pressure Humans Glaucoma, Open-Angle Myopia Deep Learning 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 Visual Fields Aged Fluorescein Angiography Humans Angiography Cross-Sectional Studies Retinal Vessels Glaucoma Intraocular Pressure Glaucoma, Open-Angle Female Male Capillaries Reproducibility of Results Middle Aged
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