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Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

465
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...
465
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

360
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...
360
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

355
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...
355
Vision01:24

Vision

52.2K
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.
52.2K

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Full-Circle Cauterization of Limbal Vascular Plexus for Surgically Induced Glaucoma in Rodents
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Artificial intelligence and glaucoma: a lucid and comprehensive review.

Yu Jin1, Lina Liang1, Jiaxian Li1

  • 1Department of Eye Function Laboratory, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Frontiers in Medicine
|December 31, 2024
PubMed
Summary

Artificial intelligence (AI) enhances glaucoma screening and diagnosis accuracy and efficiency. This technology offers a promising future for managing this irreversible eye disease and potentially other ophthalmic conditions.

Keywords:
artificial intelligencediagnosisglaucomaoptical coherence tomographyscreening

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Area of Science:

  • Ophthalmology and Medical Artificial Intelligence

Background:

  • Glaucoma is an irreversible ophthalmic disease characterized by challenging clinical diagnosis due to subtle progressive changes.
  • Effective screening and monitoring are critical for managing glaucoma progression.

Purpose of the Study:

  • To review the applications of artificial intelligence (AI) in glaucoma screening and diagnosis.
  • To discuss the limitations and challenges of current AI applications in glaucoma.
  • To explore future prospects of AI in glaucoma and other eye diseases.

Main Methods:

  • Review of current research and applications of AI, machine learning, and deep learning in glaucoma.
  • Analysis of AI's impact on diagnostic accuracy, efficiency, and cost-effectiveness.

Main Results:

  • AI demonstrates significant potential to improve the accuracy and efficiency of glaucoma screening and diagnosis.
  • AI-driven approaches can substantially reduce the cost of glaucoma diagnosis and treatment.

Conclusions:

  • Artificial intelligence is rapidly advancing the field of glaucoma management.
  • Further research and development are needed to overcome current limitations and fully realize AI's potential in ophthalmology.