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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 ...
Retrospective Studies Electronic Health Records Female Aged Humans Glaucoma Artificial Intelligence ROC Curve Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Male Middle Aged Disease Progression Deep Learning
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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.
Visual Field Tests Cross-Sectional Studies Glaucoma Male Retrospective Studies Humans Tomography, Optical Coherence Middle Aged Female Deep Learning Artifacts Neural Networks, Computer Aged Retinal Ganglion Cells 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.
Optic Nerve Diseases Photography Intraocular Pressure Male Middle Aged Disease Progression ROC Curve Optic Disk Visual Fields Visual Field Tests Retrospective Studies Female Aged Adult Humans Neural Networks, Computer Glaucoma
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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).
Glaucoma Deep Learning ROC Curve Minimally Invasive Surgical Procedures Humans Cataract Extraction Video Recording Trabecular Meshwork
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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 Neural Networks, Computer Glaucoma Image Processing, Computer-Assisted Algorithms Support Vector Machine Fundus Oculi Optic Disk
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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.
Humans Glaucoma Female Aged Adult Male Middle Aged Deep Learning Vision Disorders Tomography, Optical Coherence Visual Fields Visual Field Tests
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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 Deep Learning Humans Machine Learning ROC Curve Intraocular Pressure Neural Networks, Computer Retrospective Studies Treatment Outcome Glaucoma Male Electronic Health Records Antihypertensive Agents Middle Aged Female
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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.
Female Aged Male Middle Aged Humans Retinal Ganglion Cells Glaucoma Deep Learning Visual Fields Prognosis Tomography, Optical Coherence Visual Field Tests Macula Lutea Nerve Fibers Optic Disk
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Assessing the Efficacy of Synthetic Optic Disc Images for Detecting Glaucomatous Optic Neuropathy Using Deep Learning.

Translational vision science & technology Jun 3, 2024
PURPOSE: Deep learning architectures can automatically learn complex features and patterns associated with glaucomatous optic neuropathy (GON). However, developing robust algorithms requires a large number of data sets. We sought to train an adversar...
ROC Curve Optic Disk Optic Nerve Diseases Female Male Middle Aged Deep Learning Humans Glaucoma Algorithms
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