Glaucoma

Prediction of primary glaucoma: development and validation of multiple machine learning models.

Glaucomatous Remodeling of the Lamina Cribrosa: Association With Visual Field Progression.

PURPOSE: To determine whether rates of change in lamina cribrosa (LC) depth and curvature in POAG patients are associated with rates of visual field (VF) progression. METHODS: We used 24 radial B-scan spectral domain optic coherence tomographic images to define anterior LC surface depth (ALCSD) and LC curvature index (LCCI), which were segmented by deep learning. Linear mixed effects models tested...

A novel superpixel based Vision Transformer for improving interpretability in glaucoma screening.

Interpretability remains one of the major challenges in the clinical adoption of deep learning models for medical image analysis. In ophthalmology, pa...

Improving support and self-management of ophthalmic patients using an artificial intelligence health coach.

This study evaluates patient engagement and satisfaction with Everyday Medical Monitoring Ally (E.M.M.A), a purpose-trained artificial intelligence (A...

A vision transformer model for the detection of glaucoma from optic disc photographs.

This study uses a deep learning algorithm to analyze optic disc photographs (ODPs) and classify eyes as glaucomatous or healthy based on optic nerve a...

A Knowledge-Guided Bi-Modal Network for the Classification of Anterior Chamber Angle Images.

Glaucoma is a leading cause of irreversible blindness globally. When glaucoma is diagnosed, Anterior Chamber Angle (ACA) evaluation is the necessary s...

Predicting Visual Field Loss in Glaucoma Using OCT and Deep Learning: A Comparative Study of U-Net Variants.

PURPOSE: Glaucoma is a chronic eye disease that progressively damages the optic nerve, leading to irreversible visual field (VF) loss. OCT and VF test...

Attention‑Guided Hybrid Deep Learning with Fibonacci and Annular Ring Handcrafted Features for Glaucoma Detection in Retinal Images.

Glaucoma, a major contributor to irreversible blindness, often progresses silently, making early detection vital. Manual interpretation of retinal fun...

Comprehensive Evaluation of ChatGPT's Diagnostic Accuracy on Image-based Ophthalmic Case Interpretations.

OBJECTIVE: To evaluate the diagnostic and treatment accuracy of Chat Generative Pre-trained Transformer (GPT-4.o) in ophthalmology, comparing performa...

Interpretable machine learning reveals metabolomic signatures: biomarkers and mechanisms in acute vs chronic angle-closure glaucoma.

CorvisST biomechanical indices in the diagnosis of corneal stromal and endothelial disorders: an artificial intelligence-based comparative study.

AIMS: To analyse the value of the CorvisST indices in diagnosing corneal stromal and endothelial disorders (CSEDs). METHODS: This institutional retros...

Fuzzy logic for preanesthetic risk assessment in cataract surgery patients.

We aimed to build a fuzzy logic preanaesthetic risk score tailored to cataract surgery. By fusing systemic comorbidities with key patient attributes i...

Comparing the Accuracy of 4 Artificial Intelligence Models in PubMed Citation Generation for Glaucoma Research.

PRCIS: DeepSeek, a biomedically enriched AI model, achieved the highest accuracy in generating PubMed citations for glaucoma research, outperforming g...

A framework of hybrid deep learning and nature-inspired algorithms for accurate multi-class fundus disease classification.

Fundus imaging is an essential technique for detecting anatomical changes indicative of various ophthalmological diseases. These alterations-including...

Routine blood tests and machine learning identify complications in high myopia.

High myopia can lead to cataract, glaucoma, retinal detachment, choroidal neovascularisation, and macular degeneration, causing irreversible vision lo...

Real world practice of Artificial intelligence Diagnostic System for Diabetic Retinopathy in Taiwan.

PURPOSE: We evaluated the alterations of applying artificial intelligence (AI) diagnostic system for diabetic retinopathy (DR) screening in real-world...

Ferroptosis regulator NOX1 acts a diagnostic biomarker and mediates disease progression with the transcriptional regulation of STAT3 in glaucoma.

PURPOSE: Primary open-angle glaucoma (POAG) is the leading cause of irreversible blindness. Regrettably, the roles of ferroptosis-related (FR) genes i...

Toward Long-Term Visual Field Appearance Forecasting Using Artificial Intelligence for Ophthalmic Education and Diagnosis.

OBJECTIVE: To provide state-of-the-art, post hoc-explainable visual field (VF) forecasts to aid in training ophthalmic residents to characterize glauc...

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SYN-OCT:A synthetic dataset of ocular optical coherence tomography images from healthy and glaucoma eyes.

The SYN-OCT dataset contains a total of 200,000 synthetic cross-sectional circumpapillary optical coherence tomography (OCT) images, comprising of 100...