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

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...
Open Angle Glaucoma: Treatment01:27

Open Angle Glaucoma: Treatment

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...
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

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...

You might also read

Related Articles

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

Sort by
Same author

Impact of a Patient Navigator Program on Access to Outpatient Ophthalmic Surgery.

Clinical ophthalmology (Auckland, N.Z.)·2026
Same author

LabSage: Structural-Semantic Decoupling for Enhanced Retrieval-Augmented Generation in Clinical Laboratories.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

A multimodal generative model for structured and unstructured electronic health records.

npj health systems·2026
Same author

Comparative machine learning modeling of resting energy expenditure estimation in mechanically ventilated children after cardiac surgery.

European journal of clinical nutrition·2026
Same author

Comment on: Visual Field Progression in Glaucoma Patients with Delayed Follow-Up.

American journal of ophthalmology·2026
Same author

NR3C1/PRKACG-mediated impairment of mitochondrial quality control underlies stress-induced hypothalamic neuronal injury.

Communications biology·2026
Same journal

Focal Epithelial Bullae at the Air-Cornea Interface After Glaucoma Surgery.

Ophthalmology. Glaucoma·2026
Same journal

Effect of intraocular pressure control on visual field progression in the HORIZON trial.

Ophthalmology. Glaucoma·2026
Same journal

Comparing national microinvasive glaucoma surgery procedure rates in response to Medicare and industry payment changes.

Ophthalmology. Glaucoma·2026
Same journal

Standardized Classification System for Dysphotopsia Reporting.

Ophthalmology. Glaucoma·2026
Same journal

The Flip Sides of Interventional Glaucoma.

Ophthalmology. Glaucoma·2026
Same journal

Intraocular Pressure Measurement Variability in the Ocular Hypertension Treatment Study.

Ophthalmology. Glaucoma·2026
See all related articles

Related Experiment Video

Updated: May 10, 2026

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

Leveraging Natural Language Processing to Assess Follow-Up Patterns in Glaucoma Care.

Andrew M Williams1, Hai-Wei Liang1, Chenyu Li2

  • 1Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Ophthalmology. Glaucoma
|May 8, 2026
PubMed
Summary
This summary is machine-generated.

A new natural language processing (NLP) algorithm accurately identifies glaucoma patient follow-up recommendations. Over 73% of patients experienced lapses in care, highlighting a significant need for improved follow-up strategies.

Keywords:
Follow-upGlaucomaHealth disparitiesLapses in careNatural language processing

Related Experiment Videos

Last Updated: May 10, 2026

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

Area of Science:

  • Ophthalmology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Glaucoma management requires consistent follow-up to prevent vision loss.
  • Clinical notes contain valuable information on recommended follow-up intervals.
  • Automating the extraction of follow-up data is crucial for patient care.

Purpose of the Study:

  • To develop and validate a natural language processing (NLP) algorithm for extracting glaucoma follow-up recommendations from clinical notes.
  • To determine the incidence of patients lapsing beyond recommended follow-up intervals.

Main Methods:

  • Retrospective cohort study of adult glaucoma patients (2016-2022).
  • Developed an NLP algorithm to identify follow-up intervals from clinical note free text.
  • Defined lapses as visits exceeding 125% of the recommended interval; analyzed risk factors using generalized estimating equations.

Main Results:

  • The NLP algorithm achieved high performance (F1 score 0.905) in identifying follow-up intervals for 71.1% of visits.
  • 20.0% of visits exceeded recommended follow-up intervals, with a median excess of 52.9 days.
  • 73.7% of patients experienced at least one lapse in care; Black and Hispanic patients had higher lapse risks.

Conclusions:

  • NLP reliably detects individualized follow-up intervals and lapses in glaucoma care.
  • Identifying lapses can help target interventions to reduce loss to follow-up.
  • The algorithm demonstrates potential for improving glaucoma patient management and adherence.