Ophthalmology

Glaucoma

Latest AI and machine learning research in glaucoma for healthcare professionals.

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JustRAIGS: Justified Referral in AI Glaucoma Screening Challenge.

A major contributor to permanent vision loss is glaucoma. Early diagnosis is crucial for preventing ...

ATLASS: An AnaTomicaLly-Aware Self-Supervised Learning Framework for Generalizable Retinal Disease Detection.

Medical imaging, particularly retinal fundus photography, plays a crucial role in early disease dete...

Applications of machine learning in glaucoma diagnosis based on tabular data: a systematic review.

Glaucoma is a leading cause of irreversible blindness, necessitating early and accurate diagnosis to...

Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation.

Glaucoma is a progressive disease that can lead to permanent vision loss, making progression predict...

A Semi-supervised Reinforcement Learning Framework Incorporating the Multi-scale IncepMambaNet Network for Glaucoma Progression Prediction.

Glaucoma is the leading cause of irreversible blindness worldwide. Currently, artificial intelligenc...

Machine learning technology in the classification of glaucoma severity using fundus photographs.

This study evaluates the performance of a machine learning model in classifying glaucoma severity us...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesi...

A three-tier AI solution for equitable glaucoma diagnosis across China's hierarchical healthcare system.

Artificial intelligence (AI) offers a solution to glaucoma care inequities driven by uneven resource...

GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data.

Congenital glaucoma, a complex and diverse condition, presents considerable difficulties in its iden...

Prospective pragmatic trial of automated retinal photography and AI glaucoma screening in Australian primary care.

There are no prospective clinical studies evaluating artificial intelligence implementation for glau...

Analysis of 2-dimensional regional differences in the peripapillary scleral fibroblast cytoskeleton of normotensive and hypertensive mouse eyes.

These studies aimed to study the mechanisms of glaucomatous peripapillary scleral (PPS) remodeling b...

Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives.

Glaucoma is a globally prevalent disease that leads irreversible blindness. The visual field (VF) ex...

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UNLABELLED: Early detection of glaucoma represents a vital factor in securing vision while the disea...

Screening of Glaucoma in High-Risk Minority Populations.

PRECIS: This chapter reviews the current recommendations on screening for open angle glaucoma in Bla...

Predicting Retinal Nerve Fiber Layer Thickness From Ocular Hypertension Treatment Study Optic Disc Photographs.

IMPORTANCE: Deep learning predictions of retinal nerve fiber layer (RNFL) thickness derived from opt...

Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages.

PURPOSE: Leveraging an artificial intelligence system (AI) for glaucoma screening can mitigate the c...

Topo-CNN: Retinal Image Analysis with Topological Deep Learning.

The analysis of fundus images is vital for early detection of retinal diseases such as diabetic reti...

Macular pigment optical density and measurement technology based on artificial intelligence: a narrative review.

Macular pigment (MP) is a crucial pigment in the macular region. It plays an important role in filte...

Artificial intelligence for glaucoma.

This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine t...

Retinal Vessel Traits and Age-Related Eye Disease in the Canadian Longitudinal Study on Aging.

BACKGROUND: To cross-sectionally and longitudinally examine whether retinal vessel traits are associ...

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