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Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

771
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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Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

577
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...
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Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

691
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: Sep 14, 2025

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
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Deep Learning-Based Prediction of Glaucoma Severity and Progression Using Imo/TEMPO Screening Program.

Kei Sano1, Euido Nishijima1, Shunsuke Sumi2,3

  • 1Department of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.

Ophthalmology Science
|July 23, 2025
PubMed
Summary

DeepISP, a deep learning model, accurately predicts visual field status and progression using rapid screening perimetry. This tool aids in early glaucoma detection and patient prioritization for timely clinical intervention.

Keywords:
Deep learningGlaucomaPerimetryScreeningVisual field

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Visual field (VF) testing is crucial for diagnosing and monitoring glaucoma.
  • Rapid screening perimetry (ISP) offers a faster alternative to standard Humphrey visual field analyzer (HFA) testing.
  • Predicting comprehensive VF information from rapid screening remains a challenge.

Purpose of the Study:

  • To develop DeepISP, a deep learning model, for predicting comprehensive VF information from HFA based on ISP.
  • To assess DeepISP's capability in predicting both current VF status and VF progression.

Main Methods:

  • Developed two variants of multitask neural networks (DeepISP).
  • Utilized a retrospective cohort of actual and synthesized ISP data.
  • Employed data augmentation combining HFA 24-2 and HFA 10-2 points.

Main Results:

  • DeepISP accurately predicted current VF parameters: Mean Absolute Errors for MD (1.869), PSD (1.918), and VFI (5.146).
  • Achieved high F1 scores for pointwise classification of TD (0.761) and PD (0.775) probability plots.
  • Demonstrated strong performance in predicting VF progression (AUCs of 0.828 for MD and 0.832 for VFI).

Conclusions:

  • DeepISP effectively predicts comprehensive VF information, including severity and progression risk, from rapid ISP tests.
  • The model shows versatility and capability in analyzing VF data.
  • DeepISP serves as an efficient tool for screening and prioritizing glaucoma patients for intervention.