Glaucoma

Glaucoma detection and staging from visual field images using machine learning techniques.

PURPOSE: In this study, we investigated the performance of deep learning (DL) models to differentiat...

Validation of a Visual Field Prediction Tool for Glaucoma: A Multicenter Study Involving Patients With Glaucoma in the United Kingdom.

PURPOSE: A previously developed machine-learning approach with Kalman filtering technology accuratel...

Comparison of an AI-based mobile pupillometry system and NPi-200 for pupillary light reflex and correlation with glaucoma-related markers.

INTRODUCTION: Glaucoma is a leading cause of blindness, often progressing asymptomatically until sig...

Machine Learning Approaches in High Myopia: Systematic Review and Meta-Analysis.

BACKGROUND: In recent years, with the rapid development of machine learning (ML), it has gained wide...

Evaluating the Influence of Clinical Data on Inter-Observer Variability in Optic Disc Analysis for AI-Assisted Glaucoma Screening.

PURPOSE: This study aims to evaluate the inter-observer variability in assessing the optic disc in f...

The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children.

The rising prevalence of myopia is a significant global health concern. Atropine eye drops are comm...

Artificial intelligence-enabled discovery of a RIPK3 inhibitor with neuroprotective effects in an acute glaucoma mouse model.

BACKGROUND: Retinal ganglion cell (RGC) death caused by acute ocular hypertension is an important ch...

Exploring transparency: A comparative analysis of explainable artificial intelligence techniques in retinography images to support the diagnosis of glaucoma.

Machine learning models are widely applied across diverse fields, including nearly all segments of h...

Editorial: The diagnoses of glaucoma in the era of artificial intelligence.

Artificial intelligence and glaucoma: a lucid and comprehensive review.

Glaucoma is a pathologically irreversible eye illness in the realm of ophthalmic diseases. Because i...

Glaucoma detection: Binocular approach and clinical data in machine learning.

In this work, we present a multi-modal machine learning method to automate early glaucoma diagnosis....

Machine Learning Models for Predicting 24-Hour Intraocular Pressure Changes: A Comparative Study.

BACKGROUND Predicting 24-hour intraocular pressure (IOP) fluctuations is crucial for enhancing glauc...

Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine.

Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the op...

CC-TransXNet: a hybrid CNN-transformer network for automatic segmentation of optic cup and optic disk from fundus images.

Accurate segmentation of the optic disk (OD) and optic cup (OC) regions of the optic nerve head is a...

Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model.

BACKGROUND/AIMS: To design a deep learning (DL) model for the detection of glaucoma progression with...

A generalised computer vision model for improved glaucoma screening using fundus images.

IMPORTANCE: Worldwide, glaucoma is a leading cause of irreversible blindness. Timely detection is pa...

Diagnostic Performance of the Offline Medios Artificial Intelligence for Glaucoma Detection in a Rural Tele-Ophthalmology Setting.

PURPOSE: This study assesses the diagnostic efficacy of offline Medios Artificial Intelligence (AI) ...

Impact of acquisition area on deep-learning-based glaucoma detection in different plexuses in OCTA.

Glaucoma is a group of neurodegenerative diseases that can lead to irreversible blindness. Yet, the ...

Federated Learning in Glaucoma: A Comprehensive Review and Future Perspectives.

CLINICAL RELEVANCE: Glaucoma is a complex eye condition with varied morphological and clinical prese...

The AI revolution in glaucoma: Bridging challenges with opportunities.

Recent advancements in artificial intelligence (AI) herald transformative potentials for reshaping g...

The use of artificial neural networks in studying the progression of glaucoma.

In ophthalmology, artificial intelligence methods show great promise due to their potential to enhan...