AIMC Topic: 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...
Prediction of visual field progression with serial optic disc photographs using deep learning.
The British journal of ophthalmology
Jul 23, 2024
AIM: We tested the hypothesis that visual field (VF) progression can be predicted with a deep learning model based on longitudinal pairs of optic disc photographs (ODP) acquired at earlier time points during follow-up.
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...
Visual Field Tests
Optic Nerve Diseases
Glaucoma, Open-Angle
ROC Curve
Follow-Up Studies
Vision Disorders
Area Under Curve
Male
Optic Disk
Retinal Ganglion Cells
Middle Aged
Visual Fields
Humans
Disease Progression
Retrospective Studies
Tomography, Optical Coherence
Glaucoma
Deep Learning
Female
Algorithms
Nerve Fibers
Aged
Intraocular Pressure
A multi-label transformer-based deep learning approach to predict focal visual field progression.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Feb 9, 2024
PURPOSE: Tracking functional changes in visual fields (VFs) through standard automated perimetry remains a clinical standard for glaucoma diagnosis. This study aims to develop and evaluate a deep learning (DL) model to predict regional VF progression...
Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field Variability.
Ophthalmology. Glaucoma
Jan 29, 2024
PURPOSE: Develop and evaluate the performance of a deep learning model (DLM) that forecasts eyes with low future visual field (VF) variability, and study the impact of using this DLM on sample size requirements for neuroprotective trials.
Prediction and Detection of Glaucomatous Visual Field Progression Using Deep Learning on Macular Optical Coherence Tomography.
Journal of glaucoma
Jan 12, 2024
PRCIS: A deep learning model trained on macular OCT imaging studies detected clinically significant functional glaucoma progression and was also able to predict future progression.
Predicting 60-4 visual field tests using 3D facial reconstruction.
The British journal of ophthalmology
Dec 18, 2023
BACKGROUND: Despite, the potential clinical utility of 60-4 visual fields, they are not frequently used in clinical practice partly, due to the purported impact of facial contour on field defects. The purpose of this study was to design and test an a...
Predicting glaucoma progression using deep learning framework guided by generative algorithm.
Scientific reports
Nov 15, 2023
Glaucoma is a slowly progressing optic neuropathy that may eventually lead to blindness. To help patients receive customized treatment, predicting how quickly the disease will progress is important. Structural assessment using optical coherence tomog...
Deep Learning Estimation of 10-2 Visual Field Map Based on Macular Optical Coherence Tomography Angiography Measurements.
American journal of ophthalmology
Sep 19, 2023
PURPOSE: To develop deep learning (DL) models estimating the central visual field (VF) from optical coherence tomography angiography (OCTA) vessel density (VD) measurements.
A deep learning model incorporating spatial and temporal information successfully detects visual field worsening using a consensus based approach.
Scientific reports
Jan 19, 2023
Glaucoma is a leading cause of irreversible blindness, and its worsening is most often monitored with visual field (VF) testing. Deep learning models (DLM) may help identify VF worsening consistently and reproducibly. In this study, we developed and ...
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