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Related Concept Videos

Glaucoma: Overview01:25

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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...
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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.
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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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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Related Experiment Video

Updated: Dec 28, 2025

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
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Artificial Intelligence Classification of Central Visual Field Patterns in Glaucoma.

Mengyu Wang1, Lucy Q Shen2, Louis R Pasquale3

  • 1Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts.

Ophthalmology
|February 22, 2020
PubMed
Summary
This summary is machine-generated.

Artificial intelligence identified 17 central visual field (VF) loss patterns in glaucoma. These patterns significantly improved predicting VF worsening compared to traditional global indices.

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Area of Science:

  • Ophthalmology
  • Medical Artificial Intelligence
  • Computational Vision

Background:

  • Glaucoma is a leading cause of irreversible blindness worldwide.
  • Early detection and monitoring of visual field (VF) loss are crucial for managing glaucoma.
  • Current methods for quantifying VF loss may not fully capture the nuances of central VF damage.

Purpose of the Study:

  • To utilize artificial intelligence (AI) for quantifying diverse central visual field (VF) loss patterns in glaucoma.
  • To develop and validate an AI-driven model for predicting the progression of central VF damage over time.

Main Methods:

  • Retrospective analysis of Humphrey 10-2 visual field test results from 8712 glaucoma patients.
  • Archetypal analysis applied to identify distinct central VF loss patterns.
  • Stepwise regression used to build a predictive model for the rate of change in mean deviation (MD) slope.

Main Results:

  • Seventeen distinct central VF patterns were identified, categorized into superior loss, inferior loss, and diffuse loss.
  • AI-based pattern analysis significantly improved the prediction of VF mean deviation (MD) slope compared to global indices alone.
  • Eyes with superonasal and inferonasal loss at baseline were more prone to worsening MD over time.

Conclusions:

  • Quantified central VF patterns in glaucoma using AI provide a more detailed understanding of disease manifestation.
  • The developed AI model enhances the prediction of future VF worsening, aiding clinical management.
  • Identifying specific VF loss patterns can help personalize glaucoma treatment strategies.