Glaucoma

Anterior segment optical coherence tomography imaging in angle closure: advances in diagnosis and care.

PURPOSE OF REVIEW: To highlight emerging applications of anterior segment optical coherence tomography (AS-OCT) in the diagnosis, risk stratification, and management of angle closure glaucoma, with particular emphasis on the integration of artificial intelligence. RECENT FINDINGS: AS-OCT enables objective and reproducible quantification of anterior chamber angle parameters, overcoming the subjecti...

Comparison of RETFound and a Supervised Convolutional Neural Network for Detection of Referable Glaucoma from Fundus Photographs.

PURPOSE: To compare the performance of a vision transformer-based foundation model (RETFound) and a supervised convolutional neural network (VGG-19) for detecting referable glaucoma from fundus photographs. DESIGN: An evaluation of diagnostic technology. PARTICIPANTS: Six thousand one hundred sixteen participants from the Los Angeles County Department of Health Services Teleretinal Screening Progr...

Accuracy and Readability of Chat Generative Pre-Trained Transformer-4 Omni in Answering Ophthalmology Patient Questions.

PURPOSE: To assess the quality of Chat Generative Pre-Trained Transformer-4 Omni (ChatGPT-4o) responses to questions submitted by patients through Epi...

Detecting Inflammation in Fundus Photographs Using Machine Learning.

PURPOSE: To utilize a machine learning model for employing ultra-widefield fundus photograph (UWFFP) as a surrogate marker for ultra-widefield fluores...

A systematic review of vision and vision-language foundation models in ophthalmology.

BACKGROUND: Vision and vision-language foundation models, a subset of advanced artificial intelligence (AI) frameworks, have shown transformative pote...

Advancements in ocular blood flow imaging: Clinical applications of laser speckle flowgraphy and optical coherence tomography angiography in retinal and choroidal vascular diseases.

Ocular blood flow imaging techniques have become indispensable in current clinical practice because retinal vascular disturbances have been implicated...

Global Trends and Emerging Themes in Tele-Ophthalmology Research: A Bibliometric Analysis (1993 to 2024).

BACKGROUND: Tele-ophthalmology is transforming eye care delivery, particularly in remote and underserved areas, where specialist shortages and geograp...

Impact of artificial intelligence in vision science: A systematic review of progress, emerging trends, data domain quantification, and critical gaps.

The prominence of artificial intelligence (AI) is growing exponentially, yet its implementation across research domains is uneven. To quantify AI tren...

DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation.

Retinal vascular morphology plays a crucial role in diagnosing diseases such as diabetes, glaucoma, and hypertension, making accurate segmentation of ...

Improvement of an eye disease detection model by using the denoising diffusion implicit model.

With rapid developments in artificial intelligence (AI), the discussion about and applications of generative AI have increased substantially. Generati...

A Semi-supervised Reinforcement Learning Framework Incorporating the Multi-scale IncepMambaNet Network for Glaucoma Progression Prediction.

Glaucoma is the leading cause of irreversible blindness worldwide. Currently, artificial intelligence (AI) technology combined with optical coherence ...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesized, but the causal link and shared mechanisms rem...

D-optimal candexch algorithm-enhanced machine learning UV-spectrophotometry for five-analyte determination in novel anti-glaucoma formulations and ocular fluids: four-color sustainability framework with NQS assessment and UN-SDG integration.

The novel anti-glaucoma ophthalmic preparation containing latanoprost, netarsudil, and benzalkonium chloride has posed a significant challenge due to ...

A three-tier AI solution for equitable glaucoma diagnosis across China's hierarchical healthcare system.

Artificial intelligence (AI) offers a solution to glaucoma care inequities driven by uneven resource distribution, but its real-world implementation r...

GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data.

Congenital glaucoma, a complex and diverse condition, presents considerable difficulties in its identification and categorization. This research used ...

Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives.

Glaucoma is a globally prevalent disease that leads irreversible blindness. The visual field (VF) examination is important but time-consuming for visu...

Analysis of 2-dimensional regional differences in the peripapillary scleral fibroblast cytoskeleton of normotensive and hypertensive mouse eyes.

These studies aimed to study the mechanisms of glaucomatous peripapillary scleral (PPS) remodeling by investigating IOP-induced changes in fibroblast ...

Prospective pragmatic trial of automated retinal photography and AI glaucoma screening in Australian primary care.

There are no prospective clinical studies evaluating artificial intelligence implementation for glaucoma detection in real-world settings. We develope...

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UNLABELLED: Early detection of glaucoma represents a vital factor in securing vision while the disease retains its position as one of the central caus...

Screening of Glaucoma in High-Risk Minority Populations.

PRECIS: This chapter reviews the current recommendations on screening for open angle glaucoma in Black and Hispanic populations. Strategies for increa...