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

Data Volume and the Need for Clinical Decision Support in Glaucoma Care.

Ophthalmology science·2026
Same author

Extraction of Glaucoma Diagnosis, Type, and Severity from Clinical Notes using Secure Cloud-based Large Language Models.

medRxiv : the preprint server for health sciences·2026
Same author

Optic Disc Fundus Images Retain Biometric Identity Signals Under Deep Learning.

Research square·2026
Same author

Development and Pilot Testing of a Mobile App Psychosocial Intervention for Psychological Distress in Individuals with Glaucoma.

medRxiv : the preprint server for health sciences·2026
Same author

Reply to Comment on "RNFL Thickness in a Population-Based Cohort: The Canadian Longitudinal Study on Aging M2M (Machine-to-Machine) Study".

American journal of ophthalmology·2026
Same author

Identification of Risk Factors for Glaucoma Progression in Free-Text Clinical Notes Using a Local Large Language Model.

Translational vision science & technology·2026
Same journal

From Chaos to Care: Personalized AI for Early Cardiac Arrhythmia Warning.

medRxiv : the preprint server for health sciences·2026
Same journal

Large distant deletion disrupts CDKN2A enhancer and predisposes to melanoma.

medRxiv : the preprint server for health sciences·2026
Same journal

Artificial Intelligence-Based Chatbots in Genetic Counseling Practice: Current Uptake, Utilization, and Perspectives.

medRxiv : the preprint server for health sciences·2026
Same journal

Longitudinal MAP-MRI-based Assessment of Tissue Microstructural Alterations in Acute mTBI.

medRxiv : the preprint server for health sciences·2026
Same journal

A class of deep intronic <i>IGHMBP2</i> variants activate a shared cryptic splice donor, enabling correction of select variants with a single antisense oligonucleotide.

medRxiv : the preprint server for health sciences·2026
Same journal

Global Socioeconomic Context and Brain Ageing in Epilepsy: an ENIGMA-Epilepsy study.

medRxiv : the preprint server for health sciences·2026
See all related articles

Related Experiment Video

Updated: Jun 30, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

GLLaucoMed: A Secure LLM-Powered Agentic Workflow for Automated Medication Extraction from Free-Text Glaucoma

Nicholas Solages, Rafael Scherer, Gustavo A Samico

    Medrxiv : the Preprint Server for Health Sciences
    |June 29, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Large language models (LLMs) show high efficacy in extracting medication details from electronic health records for glaucoma patients. Claude and GPT models performed best in identifying current and proposed medication changes.

    More Related Videos

    Biobanking of Human Aqueous and Vitreous Liquid Biopsies for Molecular Analyses
    14:54

    Biobanking of Human Aqueous and Vitreous Liquid Biopsies for Molecular Analyses

    Published on: September 11, 2023

    Related Experiment Videos

    Last Updated: Jun 30, 2026

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
    05:47

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

    Published on: June 13, 2025

    Biobanking of Human Aqueous and Vitreous Liquid Biopsies for Molecular Analyses
    14:54

    Biobanking of Human Aqueous and Vitreous Liquid Biopsies for Molecular Analyses

    Published on: September 11, 2023

    Area of Science:

    • Ophthalmology and Artificial Intelligence
    • Natural Language Processing in Healthcare

    Background:

    • Accurate extraction of medication information from electronic health records (EHRs) is crucial for patient care in ophthalmology.
    • Unstructured clinical notes present a challenge for automated data retrieval, necessitating advanced methods like large language models (LLMs).
    • Glaucoma management requires precise tracking of topical and oral medications, including changes over time.

    Purpose of the Study:

    • To evaluate the effectiveness of various LLMs in extracting medication-related data from clinical notes specific to glaucoma patients.
    • To assess the performance of LLMs in identifying current topical medications (CTM), proposed changes to topical medications (ΔTM), current oral medications (COM), and proposed changes to oral medications (ΔOM).

    Main Methods:

    • A cross-sectional study utilized 1,250 subjects from the Bascom Palmer Ophthalmic Repository.
    • Glaucoma clinical notes were labeled by specialists for CTM, ΔTM, COM, and ΔOM. Five LLMs (Claude Opus 4.6, DeepSeek-V3.2, GPT 5.2, Grok 4.1, Qwen3.6-35B-A3B) were tested.
    • Performance was measured using F1 scores, exact match accuracy, and Jaccard Index (JI), with inter-grader agreement assessed by Gwet AC1.

    Main Results:

    • High inter-grader agreement was observed (Gwet AC1 ranging from 0.799 to 0.988).
    • LLM F1 scores for CTM were consistently high (0.968-0.985). Performance for ΔTM, COM, and ΔOM also demonstrated strong results.
    • Exact match accuracies and Jaccard Indices indicated robust performance in text matching for positive cases across all medication categories.

    Conclusions:

    • The GLLaucoMed pipeline effectively extracts and standardizes medication data from unstructured glaucoma clinical notes.
    • LLMs demonstrate significant potential in managing complex medication information within EHRs.
    • Claude and GPT models showed superior performance in this medication extraction task.