AIMC Topic: Visual Field Tests

Clear Filters Showing 21 to 30 of 76 articles

Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma.

Scientific reports Dec 5, 2022
Close monitoring of central visual field (VF) defects with 10-2 VF helps prevent blindness in glaucoma. We aimed to develop a deep learning model to predict 10-2 VF from wide-field swept-source optical coherence tomography (SS-OCT) images. Macular ga...
Glaucoma Intraocular Pressure Deep Learning Humans Visual Fields Tomography, Optical Coherence Visual Field Tests Nerve Fibers Scotoma Retinal Ganglion Cells
View on PubMed DOI

Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements.

American journal of ophthalmology Nov 1, 2022
PURPOSE: To estimate central 10-degree visual field (VF) map from spectral-domain optical coherence tomography (SD-OCT) retinal nerve fiber layer thickness (RNFL) measurements in glaucoma with artificial intelligence.
Visual Field Tests Optic Nerve Diseases Intraocular Pressure Deep Learning Tomography, Optical Coherence Nerve Fibers Humans Retinal Ganglion Cells Glaucoma Visual Fields Artificial Intelligence
View on PubMed DOI

Deep learning: applications in retinal and optic nerve diseases.

Clinical & experimental optometry Aug 23, 2022
Deep learning (DL) represents a paradigm-shifting, burgeoning field of research with emerging clinical applications in optometry. Unlike traditional programming, which relies on human-set specific rules, DL works by exposing the algorithm to a large ...
Visual Field Tests Optic Nerve Diseases Humans Deep Learning Retinal Ganglion Cells Visual Fields
View on PubMed DOI

Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning.

Scientific reports Aug 18, 2022
Primary open-angle glaucoma (POAG) is a leading cause of irreversible blindness worldwide. Although deep learning methods have been proposed to diagnose POAG, it remains challenging to develop a robust and explainable algorithm to automatically facil...
Glaucoma Intraocular Pressure Deep Learning Humans Visual Field Tests Glaucoma, Open-Angle Ocular Hypertension
View on PubMed DOI

Deep learning model to identify homonymous defects on automated perimetry.

The British journal of ophthalmology Aug 3, 2022
BACKGROUND: Homonymous visual field (VF) defects are usually an indicator of serious intracranial pathology but may be subtle and difficult to detect. Artificial intelligence (AI) models could play a key role in simplifying the detection of these def...
Humans Neural Networks, Computer Artificial Intelligence Deep Learning Vision Disorders Visual Field Tests
View on PubMed DOI

Policy-Driven, Multimodal Deep Learning for Predicting Visual Fields from the Optic Disc and OCT Imaging.

Ophthalmology Feb 21, 2022
PURPOSE: To develop and validate a deep learning (DL) system for predicting each point on visual fields (VFs) from disc and OCT imaging and derive a structure-function mapping.
Tomography, Optical Coherence Optic Disk Visual Fields Visual Field Tests Intraocular Pressure Optic Nerve Diseases Humans Glaucoma Policy Retrospective Studies Deep Learning
View on PubMed DOI

Linking Function and Structure with ReSensNet: Predicting Retinal Sensitivity from OCT using Deep Learning.

Ophthalmology. Retina Feb 5, 2022
PURPOSE: The currently used measures of retinal function are limited by being subjective, nonlocalized, or taxing for patients. To address these limitations, we sought to develop and evaluate a deep learning (DL) method to automatically predict the f...
Macular Edema Visual Field Tests Cross-Sectional Studies Deep Learning Diabetic Retinopathy Tomography, Optical Coherence Humans Retrospective Studies
View on PubMed DOI

Predicting Visual Fields From Optical Coherence Tomography via an Ensemble of Deep Representation Learners.

American journal of ophthalmology Jan 5, 2022
PURPOSE: To develop and validate a deep learning method of predicting visual function from spectral domain optical coherence tomography (SD-OCT)-derived retinal nerve fiber layer thickness (RNFLT) measurements and corresponding SD-OCT images.
Retina Visual Fields Visual Field Tests Deep Learning Humans Tomography, Optical Coherence Intraocular Pressure
View on PubMed DOI

[Artificial intelligence and glaucoma: A literature review].

Journal francais d'ophtalmologie Jan 3, 2022
In recent years, research in artificial intelligence (AI) has experienced an unprecedented surge in the field of ophthalmology, in particular glaucoma. The diagnosis and follow-up of glaucoma is complex and relies on a body of clinical evidence and a...
Humans Glaucoma Artificial Intelligence Algorithms Visual Field Tests Diagnostic Techniques, Ophthalmological
View on PubMed DOI

Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy.

Ophthalmology Jul 30, 2021
PURPOSE: To develop and validate a multimodal artificial intelligence algorithm, FusionNet, using the pattern deviation probability plots from visual field (VF) reports and circular peripapillary OCT scans to detect glaucomatous optic neuropathy (GON...
Tomography, Optical Coherence Adult Nerve Fibers Glaucoma, Open-Angle Male Retinal Ganglion Cells Algorithms Cross-Sectional Studies Visual Fields Vision Disorders Humans Middle Aged Multimodal Imaging Female Visual Field Tests ROC Curve Machine Learning Area Under Curve Aged Optic Nerve Diseases Intraocular Pressure
View on PubMed DOI
Popular Topics
Recent Journals