Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

623
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...
623
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

481
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...
481
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

572
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...
572

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Corrigendum to: Cohort profile: The Singapore Epidemiology of Eye Diseases Study (SEED).

International journal of epidemiology·2021
Same author

Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence.

American journal of ophthalmology·2021
Same author

Near work, screen time, outdoor time and myopia in schoolchildren in the Sunflower Myopia AEEC Consortium.

Acta ophthalmologica·2021
Same author

Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes.

Nature communications·2021
Same author

The trans-ancestral genomic architecture of glycemic traits.

Nature genetics·2021
Same author

COVID-19 awareness, knowledge and perception towards digital health in an urban multi-ethnic Asian population.

Scientific reports·2021

Related Experiment Video

Updated: Jul 22, 2025

Laser Capture Microdissection of Highly Pure Trabecular Meshwork from Mouse Eyes for Gene Expression Analysis
13:47

Laser Capture Microdissection of Highly Pure Trabecular Meshwork from Mouse Eyes for Gene Expression Analysis

Published on: June 3, 2018

9.4K

Use of artificial intelligence in forecasting glaucoma progression.

Sahil Thakur1, Linh Le Dinh2, Raghavan Lavanya1

  • 1Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.

Taiwan Journal of Ophthalmology
|July 24, 2023
PubMed
Summary

Artificial intelligence (AI) shows promise in forecasting glaucoma progression using clinical and imaging data. However, current AI models for glaucoma progression vary due to data limitations and methodological differences.

Keywords:
Artificial intelligencedeep learningforecastingglaucomapredictionprogression

More Related Videos

Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents
10:10

Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents

Published on: February 15, 2022

1.5K
Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
07:11

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

Published on: May 25, 2020

6.4K

Related Experiment Videos

Last Updated: Jul 22, 2025

Laser Capture Microdissection of Highly Pure Trabecular Meshwork from Mouse Eyes for Gene Expression Analysis
13:47

Laser Capture Microdissection of Highly Pure Trabecular Meshwork from Mouse Eyes for Gene Expression Analysis

Published on: June 3, 2018

9.4K
Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents
10:10

Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents

Published on: February 15, 2022

1.5K
Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
07:11

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

Published on: May 25, 2020

6.4K

Area of Science:

  • Ophthalmology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is increasingly utilized in ophthalmology for disease detection and monitoring.
  • AI applications in glaucoma research focus on understanding progression patterns and forecasting disease trajectory using clinical and imaging data.
  • Machine learning, natural language processing, and deep learning are key AI techniques applied in this field.

Purpose of the Study:

  • This narrative review focuses specifically on studies addressing glaucoma progression, rather than detection or screening.
  • To summarize current evidence on AI for glaucoma progression.
  • To highlight studies with translational potential and suggest improvements for future research.

Main Methods:

  • A narrative review of existing literature on AI in glaucoma progression.
  • Analysis of studies employing machine learning, natural language processing, and deep learning for glaucoma progression forecasting.
  • Evaluation of dataset constraints, progression definition standards, and methodological variations across studies.

Main Results:

  • AI has been employed to analyze clinical and imaging data for understanding and forecasting glaucoma progression.
  • Significant variability exists in the results of AI studies for glaucoma progression forecasting.
  • Key challenges include dataset limitations, lack of standardized progression definitions, and diverse methodologies.

Conclusions:

  • While AI shows potential in glaucoma progression research, current findings are inconsistent.
  • Addressing data limitations and standardizing methodologies are crucial for advancing AI in glaucoma progression forecasting.
  • Future research should focus on improving AI models for more accurate and reliable glaucoma progression prediction.