Glaucoma

Predicting Retinal Nerve Fiber Layer Thickness From Ocular Hypertension Treatment Study Optic Disc Photographs.

IMPORTANCE: Deep learning predictions of retinal nerve fiber layer (RNFL) thickness derived from optic disc photographs may help to determine risk for development of primary open-angle glaucoma (POAG) in patients with ocular hypertension.

Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages.

PURPOSE: Leveraging an artificial intelligence system (AI) for glaucoma screening can mitigate the current challenges and provide prompt detection and management crucial in averting irreversible blindness. The study reports the real-world performance of a glaucoma AI system deployed on a smartphone-based fundus camera across various severities of glaucoma.

Topo-CNN: Retinal Image Analysis with Topological Deep Learning.

The analysis of fundus images is vital for early detection of retinal diseases such as diabetic retinopathy (DR), glaucoma, and age-related macular de...

Macular pigment optical density and measurement technology based on artificial intelligence: a narrative review.

Macular pigment (MP) is a crucial pigment in the macular region. It plays an important role in filtering blue light, and exhibits anti-inflammatory an...

Artificial intelligence for glaucoma.

This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine the accuracy of artificial intelligence (AI) algori...

Retinal Vessel Traits and Age-Related Eye Disease in the Canadian Longitudinal Study on Aging.

BACKGROUND: To cross-sectionally and longitudinally examine whether retinal vessel traits are associated with glaucoma-related outcomes (glaucoma, cup...

Unsophisticated AI coaching does not improve performance on symptom and performance validity tests in a Romanian sample of experimental feigners.

The present study aimed to investigate the ability of symptom and performance validity indicators to detect experimental feigning with symptom-coachin...

Glaucoformer: Dual-domain Global Transformer Network for Generalized Glaucoma Stage Classification.

Classification of glaucoma stages remains challenging due to substantial inter-stage similarities, the presence of irrelevant features, and subtle les...

Ophthalmic Image Synthesis and Analysis with Generative Adversarial Network Artificial Intelligence.

Generative adversarial networks (GANs), introduced by Ian Goodfellow in 2014, have revolutionized adversarial machine learning, particularly in data s...

An Artificial Intelligence Method for Phenotyping of OCT-Derived Thickness Maps Using Unsupervised and Self-supervised Deep Learning.

The objective of this study is to enhance the understanding of ophthalmic disease physiology and genetic architecture through the analysis of optical ...

Analysis of Standard Automated Visual Field Tests in Glaucoma and the Role of Facial Contour.

PRCIS: Using a CNN-enhanced platform, 60-4 visual fields identified peripheral glaucomatous defects missed by central testing in mild cases; facial co...

Synergistic AI-resident approach achieves superior diagnostic accuracy in tertiary ophthalmic care for glaucoma and retinal disease.

INTRODUCTION: Artificial intelligence (AI) shows promise in ophthalmology, but its potential in tertiary care settings in Latin America remains unders...

State of the Art on Inherited Retinal Dystrophies: Management and Molecular Genetics.

Inherited retinal dystrophies (IRDs) represent a group of heterogeneous disorders caused by gene mutations primarily affecting retinal photoreceptors....

Restoring AIBP expression in the retina provides neuroprotection in glaucoma.

Glaucoma is a neurodegenerative disease manifested by retinal ganglion cell (RGC) death and irreversible blindness. We have identified apolipoprotein ...

Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning.

BACKGROUND: Accurate measurement of anterior segment parameters is crucial for diagnosing and managing ophthalmic conditions, such as glaucoma, catara...

Prediction of perimetric progression in ocular hypertension and open angle glaucoma based on corneal biomechanics.

PurposeTo identify parameters that are significant risk predictors of visual field (VF) progression in patients with ocular hypertension (OHT) or earl...

Deep learning-assisted 10-μL single droplet-based viscometry for human aqueous humor.

Probing the viscosity of human aqueous humor is crucial for optimizing micro-tube shunts in glaucoma treatment. However, conventional viscometers are ...

Enhanced glaucoma classification through advanced segmentation by integrating cup-to-disc ratio and neuro-retinal rim features.

Glaucoma is a progressive eye condition caused by high intraocular fluid pressure, damaging the optic nerve, leading to gradual, irreversible vision l...

Risk for ocular hypertension progression to early glaucoma: A predictive model and key predictors.

BACKGROUND: Ocular hypertension (OHT) is the most significant risk factor for glaucoma. We aimed to develop a model for predicting OHT progression to ...

Optimized glaucoma detection using HCCNN with PSO-driven hyperparameter tuning.

. This study is focused on creating an effective glaucoma detection system employing a Hybrid Centric Convolutional Neural Network (HCCNN) model. By u...