AIMC Topic: Glaucoma

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High-Accuracy Digitization of Humphrey Visual Field Reports Using Convolutional Neural Networks.

Translational vision science & technology May 1, 2025
PURPOSE: Glaucoma is a leading cause of irreversible blindness worldwide, necessitating precise visual field (VF) assessments for effective diagnosis and management. The ability to accurately digitize VF reports is critical for maximizing the utility...
Reproducibility of Results Convolutional Neural Networks Visual Fields Visual Field Tests Humans Neural Networks, Computer Glaucoma
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Multimodal Artificial Intelligence Models Predicting Glaucoma Progression Using Electronic Health Records and Retinal Nerve Fiber Layer Scans.

Translational vision science & technology Mar 3, 2025
PURPOSE: The purpose of this study was to develop models that predict which patients with glaucoma will progress to require surgery, combining structured data from electronic health records (EHRs) and retinal fiber layer optical coherence tomography ...
Deep Learning ROC Curve Humans Tomography, Optical Coherence Retinal Ganglion Cells Glaucoma Nerve Fibers Male Retrospective Studies Artificial Intelligence Middle Aged Electronic Health Records Female Disease Progression Aged
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Artificial Intelligence for Optical Coherence Tomography in Glaucoma.

Translational vision science & technology Jan 2, 2025
PURPOSE: The integration of artificial intelligence (AI), particularly deep learning (DL), with optical coherence tomography (OCT) offers significant opportunities in the diagnosis and management of glaucoma. This article explores the application of ...
Neural Networks, Computer Glaucoma Artificial Intelligence Deep Learning Humans Tomography, Optical Coherence
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Explainable Deep Learning for Glaucomatous Visual Field Prediction: Artifact Correction Enhances Transformer Models.

Translational vision science & technology Jan 2, 2025
PURPOSE: The purpose of this study was to develop a deep learning approach that restores artifact-laden optical coherence tomography (OCT) scans and predicts functional loss on the 24-2 Humphrey Visual Field (HVF) test.
Retrospective Studies Female Aged Cross-Sectional Studies Humans Neural Networks, Computer Glaucoma Visual Field Tests Tomography, Optical Coherence Male Artifacts Middle Aged Retinal Ganglion Cells Deep Learning Visual Fields
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Long-Term Rate of Optic Disc Rim Loss in Glaucoma Patients Measured From Optic Disc Photographs With a Deep Neural Network.

Translational vision science & technology Sep 3, 2024
PURPOSE: This study uses deep neural network-generated rim-to-disc area ratio (RADAR) measurements and the disc damage likelihood scale (DDLS) to measure the rate of optic disc rim loss in a large cohort of glaucoma patients.
Photography Optic Disk Visual Fields Visual Field Tests Optic Nerve Diseases Middle Aged Disease Progression ROC Curve Neural Networks, Computer Glaucoma Retrospective Studies Female Aged Adult Intraocular Pressure Male Humans
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Beyond PhacoTrainer: Deep Learning for Enhanced Trabecular Meshwork Detection in MIGS Videos.

Translational vision science & technology Sep 3, 2024
PURPOSE: The purpose of this study was to develop deep learning models for surgical video analysis, capable of identifying minimally invasive glaucoma surgery (MIGS) and locating the trabecular meshwork (TM).
Video Recording Trabecular Meshwork Humans Glaucoma Deep Learning ROC Curve Minimally Invasive Surgical Procedures Cataract Extraction
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Hybrid convolutional neural network optimized with an artificial algae algorithm for glaucoma screening using fundus images.

The Journal of international medical research Sep 1, 2024
OBJECTIVE: We developed an optimized decision support system for retinal fundus image-based glaucoma screening.
Humans Support Vector Machine Neural Networks, Computer Glaucoma Fundus Oculi Algorithms Optic Disk Image Processing, Computer-Assisted
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Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data.

Translational vision science & technology Aug 1, 2024
PURPOSE: To predict 10-2 Humphrey visual fields (VFs) from 24-2 VFs and associated non-total deviation features using deep learning.
Middle Aged Deep Learning Vision Disorders Tomography, Optical Coherence Visual Fields Visual Field Tests Female Aged Adult Male Humans Glaucoma
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Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health Records.

Translational vision science & technology Jun 3, 2024
PURPOSE: To develop machine learning (ML) and deep learning (DL) models to predict glaucoma surgical outcomes, including postoperative intraocular pressure, use of ocular antihypertensive medications, and need for repeat surgery.
Aged Antihypertensive Agents Humans Machine Learning Intraocular Pressure Neural Networks, Computer Middle Aged Retrospective Studies Male Glaucoma Deep Learning Electronic Health Records ROC Curve Female Treatment Outcome
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Visual Field Prognosis From Macula and Circumpapillary Spectral Domain Optical Coherence Tomography.

Translational vision science & technology Jun 3, 2024
PURPOSE: To explore the structural-functional loss relationship from optic-nerve-head- and macula-centred spectral-domain (SD) Optical Coherence Tomography (OCT) images in the full spectrum of glaucoma patients using deep-learning methods.
Prognosis Optic Disk Female Retinal Ganglion Cells Aged Humans Visual Fields Male Glaucoma Macula Lutea Visual Field Tests Middle Aged Deep Learning Tomography, Optical Coherence Nerve Fibers
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