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Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

In open-angle glaucoma, the iridocorneal angle remains open, but the trabecular meshwork becomes stiff, slowing down the outflow of aqueous humor. This causes a buildup of aqueous humor in the anterior chamber, leading to a sudden increase in intraocular pressure. The treatment for open-angle glaucoma focuses on reducing the elevated intraocular pressure by either decreasing the secretion of aqueous humor or increasing its outflow.
Drugs such as carbonic anhydrase inhibitors, α2- and...
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

Angle-closure glaucoma, or closed-angle glaucoma, is an eye condition where the iris bulges out and blocks the iridocorneal angle, resulting in a buildup of aqueous humor and increased intraocular pressure. Immediate medical attention is necessary due to the sudden onset of symptoms. The treatment for angle-closure glaucoma includes short-term and long-term approaches. Short-term treatment involves using eye drops like pilocarpine to lower intraocular pressure by increasing aqueous humor...

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Related Experiment Video

Updated: Jun 6, 2026

Glaucoma-inducing Procedure in an In Vivo Rat Model and Whole-mount Retina Preparation
08:30

Glaucoma-inducing Procedure in an In Vivo Rat Model and Whole-mount Retina Preparation

Published on: March 12, 2016

Update on the structure-function relationship in glaucoma.

Damon Wong1, Jacqueline Chua1, Ruben Hemelings2

  • 1Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore; SERI-NTU Advanced Ocular Engineering (STANCE) Program, Singapore, Singapore.

Survey of Ophthalmology
|June 4, 2026
PubMed
Summary
This summary is machine-generated.

The structure-function relationship in glaucoma is complex and often nonlinear. Advances in imaging and AI are improving its modeling for earlier detection and personalized patient management.

Keywords:
GlaucomaOptical coherence tomographyStructure-functionVisual field

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Last Updated: Jun 6, 2026

Glaucoma-inducing Procedure in an In Vivo Rat Model and Whole-mount Retina Preparation
08:30

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Published on: March 12, 2016

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
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Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents
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Published on: February 15, 2022

Area of Science:

  • Ophthalmology and Vision Science
  • Biomedical Engineering
  • Artificial Intelligence in Medicine

Background:

  • The structure-function relationship is crucial for glaucoma assessment, monitoring, and prognosis.
  • Current understanding emphasizes the link between retinal microstructure and visual function.

Purpose of the Study:

  • To synthesize current knowledge on the glaucoma structure-function relationship.
  • To highlight recent advances in imaging, analytical methods, and AI-driven modeling.
  • To discuss emerging frameworks for personalized glaucoma management.

Main Methods:

  • Review of emerging evidence from optical coherence tomography (OCT) and OCT angiography (OCTA).
  • Integration of imaging data with functional measures like standard automated perimetry (SAP).
  • Evaluation of classical, mechanistic, statistical, and AI-based models.

Main Results:

  • The relationship is predominantly nonlinear, with stage-dependent correlations and divergences.
  • Emerging frameworks like multimodal fusion and deep learning enhance accuracy.
  • Data quality and anatomical variability are key limitations.

Conclusions:

  • Integrating multimodal imaging and AI advances structure-function relationship modeling.
  • Developments promise earlier detection, precise monitoring, and individualized glaucoma management.
  • A deeper mechanistic understanding will improve neurovascular and neurofunctional health assessment.