Glaucoma

Reduced order modelling of air-puff test for corneal material characterisation.

Models of the fluid-structure interaction (FSI) model for the air-puff test were analysed. Using Abaqus, the air-puff test is applied to eyes with varying biomechanical parameters, such as material properties, corneal thickness, and radius. A reduced order model of the air puff (a turbulent impinging jet) has been acquired to decrease simulation time from 48 h for the FSI model to approximately 12...

HOG-CNN: Integrating Histogram of Oriented Gradients with Convolutional Neural Networks for Retinal Image Classification.

The analysis of fundus images is critical for the early detection and diagnosis of retinal diseases such as diabetic retinopathy (DR), glaucoma, and age-related macular degeneration (AMD). Traditional diagnostic workflows, however, often depend on manual interpretation and are both time- and resource-intensive. To address these limitations, we propose an automated and interpretable clinical decisi...

Model utility and explainability in federated learning - A case study in healthcare using fundus oculi datasets.

OBJECTIVE: Introduce a case study for Federated Learning (FL) in healthcare, addressing challenges posed by patient privacy and limited large-scale da...

Deep learning-based prediction of 24-2 visual field from fundus photographs in glaucoma.

Development trajectory and trends of ultrasound biomicroscopy in glaucoma research: a comprehensive 20-year bibliometric analysis.

PURPOSE: This study conducts a comprehensive bibliometric analysis regarding the application of ultrasound biomicroscopy in glaucoma research over the...

Artificial intelligence in glaucoma diagnosis and management: Has its time come?

Adaptive Temporal Mixture of Experts for Predicting Stiffness Metrics from the Ocular Response Analyzer and Identifying Keratoconus: Stiffness Estimates from Ocular Response Analyzer.

PURPOSE: To develop a machine learning-based modeling approach for extracting elastic stiffness estimates from Ocular Response Analyzer (ORA) waveform...

Comparative Evaluation of High vs. Low-Viscosity Silicone Oil in Macula-Off Retinal Detachment: Emulsification, Inflammation and AI-assisted Biomarker Detection.

INTRODUCTION: To compare the emulsification rates, intraocular pressure (IOP) changes, and retinal hyper-reflective foci (HRF) between low-viscosity (...

Deep Learning-Based Prediction of Visual Field Mean Deviation from Numeric OCT Data in Glaucoma.

The purpose is to evaluate whether numeric optical coherence tomography (OCT) data can predict Humphrey Visual Field Analyzer (HFA) 30-2 mean deviatio...

Macula Spatial Patterns and Their Association With Central Visual Field Progression in Glaucoma Using Artificial Intelligence.

PRECIS: Artificial intelligence-derived macular thinning patterns were associated with central visual field progression in glaucoma and outperformed g...

Retinal vascular alteration following surgical intraocular pressure reduction in primary angle closure disease.

AIMS: To investigate retinal vascular geometric alterations following intraocular pressure (IOP)-lowering surgery in patients with primary angle closu...

Accurate Prediction of Humphrey 10-2 Visual Fields in Glaucoma from a Single Rapid IMOvifa 24plus(1-2).

PURPOSE: Predicting the Humphrey Field Analyzer (HFA) 10-2 visual field (VF) using machine learning (ML) based on IMOvifa 24plus(1-2) VF data. DESIGN:...

TADynFed: Dynamic modality-adaptive federated learning with tissue-aware disentanglement for cross-disease analysis.

Federated learning (FL) enables collaborative medical image analysis across decentralized institutions while preserving data privacy. However, real-wo...

Automated Report Generation in Ophthalmology: Integrating Artificial Intelligence, Multimodal Imaging, and Clinical Data.

Artificial intelligence (AI) has emerged as a transformative force in ophthalmology, enabling automated, accurate, and efficient clinical reporting. T...

Diagnosis of Primary Open-Angle Glaucoma Using Spectral Profiling of Aqueous Humor-Derived Exosomes.

Primary open-angle glaucoma (POAG) is one of the most common neurodegenerative diseases that cause irreversible optic nerve damage. POAG diagnosis req...

Global research status in the treatment of glaucoma: a systematic bibliometric analysis.

AIM: To present an overview of the research on global glaucoma treatment in the last decade in terms of publication year, journals, countries/regions,...

Opportunities and challenges in leveraging multiomics and biobanks for vision science.

PURPOSE OF REVIEW: Emerging biobank resources allow large-scale integration of eye-specific phenotypes with clinical, genomic, and multiomic data. Thi...

Improving Fairness and Mitigating Bias in Multicenter Electronic Health Records Models to Predict Glaucoma Outcomes.

PURPOSE: To evaluate the effectiveness and generalizability of bias mitigation methods in glaucoma progression prediction models across a multicenter ...

Advancing glaucoma care: What's new in the 6th edition of the European Glaucoma Society guidelines.

The 6th Edition of the European Glaucoma Society (EGS) Guidelines delivers a comprehensive, methodologically robust update to one of the most authorit...

Comprehensive Serum Proteomics Uncovers Epigenetic and Inflammatory Pathways Underlying Primary Open-Angle Glaucoma.

Glaucoma is a leading cause of irreversible blindness, driven by progressive Retinal ganglion cell loss and optic nerve degeneration. The molecular me...