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

Glaucoma: Overview01:25

Glaucoma: Overview

570
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...
570
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

493
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...
493
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

448
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...
448

You might also read

Related Articles

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

Sort by
Same author

Understanding community and patient engagement and involvement (CEI) interventions in acquired brain and spinal injuries (ABSI): a realist review.

BMJ open·2026
Same author

A systematic review of efforts to predict day of surgery cancellation.

European journal of anaesthesiology·2026
Same author

Global variation in injury patterns, interventions, and post-operative outcomes for children and adolescents undergoing trauma laparotomy: an international cohort study.

The Lancet. Child & adolescent health·2026
Same author

Use of pre-operative blood products in abdominal trauma: a planned secondary analysis of the GOAL-trauma study.

EClinicalMedicine·2026
Same author

Transcriptomic Profile of Pericontusional Tissue in Human Severe Traumatic Brain Injury.

Journal of neurotrauma·2026
Same author

Defining the bellwether procedures and processes for global trauma care: an international Delphi study.

BMJ global health·2026

Related Experiment Video

Updated: Jul 1, 2025

Ultrasound Cyclo Plasty in Eyes with Glaucoma
05:05

Ultrasound Cyclo Plasty in Eyes with Glaucoma

Published on: January 26, 2018

12.2K

Artificial intelligence-enabled ophthalmoscopy for papilledema: a systematic review protocol.

Lekaashree Rambabu1,2, Brandon G Smith2,3, Stasa Tumpa2,4

  • 1University of Leicester, Leicester.

International Journal of Surgery Protocols
|March 4, 2024
PubMed
Summary

Artificial intelligence (AI) shows promise in diagnosing papilledema via ophthalmoscopy, especially in resource-limited areas. This review explores AI

Keywords:
global healthmachine learningneurosurgeryophthalmoscopypapilledemaraised intracranial pressure

More Related Videos

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
07:11

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

Published on: May 25, 2020

6.4K
Trabecular Meshwork Response to Pressure Elevation in the Living Human Eye
09:03

Trabecular Meshwork Response to Pressure Elevation in the Living Human Eye

Published on: June 20, 2015

10.0K

Related Experiment Videos

Last Updated: Jul 1, 2025

Ultrasound Cyclo Plasty in Eyes with Glaucoma
05:05

Ultrasound Cyclo Plasty in Eyes with Glaucoma

Published on: January 26, 2018

12.2K
Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
07:11

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

Published on: May 25, 2020

6.4K
Trabecular Meshwork Response to Pressure Elevation in the Living Human Eye
09:03

Trabecular Meshwork Response to Pressure Elevation in the Living Human Eye

Published on: June 20, 2015

10.0K

Area of Science:

  • Ophthalmology
  • Neuroscience
  • Artificial Intelligence

Background:

  • Papilledema, optic disc swelling from increased intracranial pressure (ICP), is diagnosed via ophthalmoscopy.
  • Ophthalmoscopy aids in stratifying investigations like MRI/CT for ICP-related pathologies.
  • Accurate fundoscopy for papilledema is crucial for triage in resource-limited settings lacking specialists or imaging.

Purpose of the Study:

  • To systematically review the evidence on AI applications in ophthalmoscopy for papilledema detection.
  • To provide a comprehensive overview of AI in neuro-ophthalmology for papilledema.
  • To identify future research directions at the intersection of clinical medicine and computer science.

Main Methods:

  • Systematic literature review.
  • Analysis of existing evidence on AI algorithms for ophthalmoscopy-based papilledema diagnosis.
  • Synthesis of findings regarding AI's role in neuro-ophthalmology.

Main Results:

  • The review identifies emerging AI tools for papilledema detection using fundus images.
  • Evidence suggests AI can aid in identifying papilledema, potentially improving diagnostic accuracy.
  • Barriers to clinical translation of AI in neuro-ophthalmology are discussed.

Conclusions:

  • AI holds significant potential for augmenting papilledema diagnosis through ophthalmoscopy.
  • AI can enhance diagnostic capabilities, particularly in underserved regions.
  • Further research is needed to overcome barriers and facilitate clinical integration of AI tools.