Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Glaucoma: Overview

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...

You might also read

Related Articles

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

Sort by

Same author

A S.C.O.R.E. framework for evaluating open-ended responses from large language models in healthcare.

Cell reports. Medicine·2026

Same author

Intereye differences in myopic macular degeneration, intraocular pressure and axial length: the Two-Continent Eye Study.

The British journal of ophthalmology·2026

Same author

Artificial intelligence-based retinal imaging for brain health assessment: a scoping review.

The Lancet. Digital health·2026

Same author

Functional and morphological alterations of light detection circuits in postmortem retina from donors with different stages of Alzheimer's-like pathology.

Communications biology·2026

Same author

Corrigendum to "Oculomics and AI: The eye as a biomarker for health span" [Asia-Pac J Ophthalmol 15 (1) (2026) 100282].

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)·2026

Same author

A dataset of patients with isolated and syndromic optic neuropathies linked to RTN4IP1 genetic variants.

Scientific data·2026

Same journal

Concurrence of Inherited Nuclear and Mitochondrial DNA Optic Neuropathies.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society·2026

Same journal

Aspergillus-Infiltrated Optic Nerve Sheath Meningioma in Immunocompetent Host Mimicking Optic Neuritis.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society·2026

Same journal

Progression of Vitreous Detachment Leading to Exacerbation of Visual Field Loss in Acute Nonarteritic Anterior Ischemic Optic Neuropathy.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society·2026

Same journal

Characterizing the Role of Ophthalmologists in the Care of Patients With Suspected Giant Cell Arteritis at an Academic Medical Center.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society·2026

Same journal

Optic Disc Drusen Is Frequently Not Reported on Computed Tomography Scans Performed for Other Reasons.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society·2026

Same journal

Dorsal Midbrain Syndrome Due to Complicated Posterior Reversible Encephalopathy Syndrome.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 12, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities.

Caroline Vasseneix¹, Simon Nusinovici, Xinxing Xu

¹Visual Neuroscience Group (CV, SN, DT, TYW, DM, RPN), Singapore Eye Research Institute, Singapore; Duke NUS Medical School (DT, TYW, DM, RPN), National University of Singapore, Singapore; Institute of High Performance Computing (XX, YL), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Ophthalmology (J-MH), Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, Korea (the Republic of); Department of Ophthalmology (SH), Rigshospitalet, University of Copenhagen, Kobenhavn, Denmark ; Departments of Ophthalmology and Neurology (JJC), Mayo Clinic Rochester, Minnesota; Singapore National Eye Centre (JLL, DT, TYW, DM), Singapore; Berkeley University (LM), Berkeley, California; Department of Emergency Medicine (KT), Singapore General Hospital, Singapore; Departments of Ophthalmology, Neurology and Neurological Surgery (NJN, VB), Emory University School of Medicine, Atlanta, Georgia; and Department of Ophthalmology (RPN), Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Journal of Neuro-Ophthalmology : the Official Journal of the North American Neuro-Ophthalmology Society

|January 31, 2023

Summary

This summary is machine-generated.

An artificial intelligence system (BONSAI-DLS) accurately detects optic disc abnormalities, outperforming clinicians in classifying conditions like papilledema. This AI tool can aid diverse medical professionals in screening for serious neurological conditions.

More Related Videos

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Related Experiment Videos

Last Updated: Aug 12, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Area of Science:

Ophthalmology
Artificial Intelligence
Medical Diagnostics

Background:

Optic disc examination is crucial for neurological symptoms but often neglected in general clinics.
Existing AI systems show promise, but their performance against frontline clinicians is unproven.

Purpose of the Study:

To evaluate the diagnostic performance of the BONSAI-DLS compared to various clinicians.
To assess the AI's accuracy in detecting optic disc abnormalities, including papilledema.

Main Methods:

A multicenter study tested the BONSAI-DLS on 800 fundus photographs.
The AI's performance was compared against 30 clinicians (ophthalmologists, optometrists, neurologists, internists, ED physicians).
Error rates, accuracy, sensitivity, and specificity were calculated for both AI and clinicians.

Main Results:

The BONSAI-DLS achieved a 15.3% error rate, significantly outperforming all clinician groups.
AI demonstrated superior accuracy in classifying papilledema, normal discs, and other abnormalities compared to clinicians.
The AI's classification performance was comparable to expert neuro-ophthalmologists.

Conclusions:

The BONSAI-DLS exhibits superior performance in classifying optic discs compared to clinicians.
This AI system can serve as a valuable diagnostic aid for screening optic disc abnormalities in various clinical settings.
Early detection of sight- or life-threatening neurological conditions can be improved with AI assistance.