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

Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

1.1K
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...
1.1K
Glaucoma: Overview01:25

Glaucoma: Overview

1.2K
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...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Safety and efficacy of rebamipide compared to artificial tears for the treatment of dry eye: a systematic review and meta-analysis.

BMC ophthalmology·2025
Same author

Risk analysis for patients with arterial thromboembolic events after intravitreal ranibizumab or aflibercept injections.

Scientific reports·2023
Same author

Association of lipid-lowering agent use and dry eye disease: A nationwide matched case-control study in Taiwan, 2002-2016.

Acta ophthalmologica·2023
Same author

Correction to: Refractive outcomes of femtosecond laser-assisted cataract surgery with arcuate keratotomy and standard phacoemulsification with toric intraocular lens implantation.

International ophthalmology·2022
Same author

Comparison of risks of arterial thromboembolic events and glaucoma with ranibizumab and aflibercept intravitreous injection: A nationwide population-based cohort study.

PloS one·2022
Same author

Refractive outcomes of femtosecond laser-assisted cataract surgery with arcuate keratotomy and standard phacoemulsification with toric intraocular lens implantation.

International ophthalmology·2021

Related Experiment Video

Updated: Jan 7, 2026

Corneal Tissue Engineering: An In Vitro Model of the Stromal-nerve Interactions of the Human Cornea
07:35

Corneal Tissue Engineering: An In Vitro Model of the Stromal-nerve Interactions of the Human Cornea

Published on: January 24, 2018

9.2K

Artificial Intelligence Application in Cornea and External Diseases.

Te-Chen Lu1, Chun-Hao Huang2, I-Chan Lin2,3

  • 1School of Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan.

Diagnostics (Basel, Switzerland)
|December 30, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) shows high accuracy in detecting various corneal diseases, aiding early diagnosis and management. AI tools also support image analysis, education, and patient monitoring for better eye care.

Keywords:
Fuchs endothelial corneal dystrophyartificial intelligencecorneal diseasecorneal transplantationdry eye diseaseinfectious keratitiskeratoconuspterygium

More Related Videos

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts
07:51

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts

Published on: October 21, 2022

2.0K
Artificial Intelligence Approaches to Assessing Primary Cilia
08:58

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

4.1K

Related Experiment Videos

Last Updated: Jan 7, 2026

Corneal Tissue Engineering: An In Vitro Model of the Stromal-nerve Interactions of the Human Cornea
07:35

Corneal Tissue Engineering: An In Vitro Model of the Stromal-nerve Interactions of the Human Cornea

Published on: January 24, 2018

9.2K
Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts
07:51

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts

Published on: October 21, 2022

2.0K
Artificial Intelligence Approaches to Assessing Primary Cilia
08:58

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

4.1K

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Corneal diseases are a major cause of global blindness.
  • Early detection is difficult due to subtle clinical signs.
  • Artificial intelligence (AI) offers potential for improved diagnosis of anterior segment disorders.

Purpose of the Study:

  • To review current applications of AI in detecting corneal conditions.
  • To assess the diagnostic performance of AI models for corneal diseases.
  • To explore AI's role in image labeling, education, and patient monitoring.

Main Methods:

  • Narrative review of AI applications in corneal disease detection.
  • Analysis of AI model performance on test datasets.
  • Inclusion of conditions like keratoconus, dry eye, infectious keratitis, pterygium, Fuchs endothelial corneal dystrophy, and corneal transplantation.

Main Results:

  • AI models demonstrate high accuracy in detecting corneal conditions, often matching or surpassing junior ophthalmologists.
  • AI applications extend to automated image labeling and educational support.
  • AI facilitates patient home monitoring for corneal health.

Conclusions:

  • AI holds significant potential for enhancing early detection and standardized classification of corneal diseases.
  • AI can improve clinical practice and support patient self-care in ophthalmology.
  • AI integration promises advancements in managing corneal pathologies and preventing blindness.