Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Glaucoma: Overview

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: Treatment

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: Treatment

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...

You might also read

Related Articles

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

Sort by

Same author

Development and validation of a multimodal artificial intelligence-based model for predicting post-prostatectomy treatment outcomes from baseline biparametric prostate magnetic resonance imaging.

Diagnostic and interventional radiology (Ankara, Turkey)·2026

Same author

Artificial intelligence-assisted diagnosis and subtype differentiation of infectious keratitis.

Eye (London, England)·2026

Same author

Quantitative imaging for assessing uveitis activity: A comprehensive review.

Survey of ophthalmology·2026

Same author

Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence.

Nature communications·2026

Same author

Development and Validation of a Multimodal AI-Based Model for Predicting Post-Prostatectomy Treatment Outcomes from Baseline Biparametric Prostate MRI.

medRxiv : the preprint server for health sciences·2026

Same author

Reply.

Ophthalmology science·2026

Same journal

Focal Epithelial Bullae at the Air-Cornea Interface After Glaucoma Surgery.

Ophthalmology. Glaucoma·2026

Same journal

Effect of intraocular pressure control on visual field progression in the HORIZON trial.

Ophthalmology. Glaucoma·2026

Same journal

Comparing national microinvasive glaucoma surgery procedure rates in response to Medicare and industry payment changes.

Ophthalmology. Glaucoma·2026

Same journal

Standardized Classification System for Dysphotopsia Reporting.

Ophthalmology. Glaucoma·2026

Same journal

The Flip Sides of Interventional Glaucoma.

Ophthalmology. Glaucoma·2026

Same journal

Intraocular Pressure Measurement Variability in the Ocular Hypertension Treatment Study.

Ophthalmology. Glaucoma·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 6, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Predicting Glaucoma before Onset Using Deep Learning.

Anshul Thakur¹, Michael Goldbaum², Siamak Yousefi³

¹School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India; Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee.

Ophthalmology. Glaucoma

|October 5, 2020

Summary

This summary is machine-generated.

Deep learning models show promise in predicting glaucoma years before onset using fundus photos. These AI tools achieved notable accuracy, aiding early detection and intervention for this vision-threatening disease.

More Related Videos

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

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

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

Published on: February 15, 2022

Related Experiment Videos

Last Updated: Dec 6, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

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

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

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

Published on: February 15, 2022

Area of Science:

Ophthalmology
Artificial Intelligence
Medical Imaging

Background:

Glaucoma is a leading cause of irreversible blindness worldwide.
Early detection of glaucoma is crucial for preventing vision loss.
Predictive models can aid in identifying at-risk individuals before significant optic nerve damage occurs.

Purpose of the Study:

To evaluate the accuracy of deep learning (DL) models in predicting glaucoma development.
To assess the models' ability to forecast disease onset from fundus photographs several years in advance.
To analyze the performance of DL algorithms in early glaucoma detection.

Main Methods:

Utilized a prospective longitudinal study dataset from the Ocular Hypertension Treatment Study (OHTS).
Included 66,721 fundus photographs from 3,272 eyes of 1,636 participants.
Trained and validated DL models on 85% of fundus photographs, with final testing on the remaining 15%.

Main Results:

The DL model achieved an Area Under the Curve (AUC) of 0.77 for predicting glaucoma 4-7 years before onset.
Model accuracy reached 0.88 for predicting glaucoma 1-3 years before onset.
High accuracy (0.95) was observed in detecting glaucoma after disease onset.

Conclusions:

Deep learning models demonstrate reasonable accuracy in predicting glaucoma development prior to clinical onset.
These AI-driven tools offer potential for earlier glaucoma detection and management.
Further refinement may be needed to improve detection of cases with visual field abnormalities but without clear glaucomatous optic neuropathy.