IEEE

Machine Learning based Glaucoma Detection using Electroretinography (ERG) Signals for Early Diagnosis and Monitoring

Abstract: Glaucoma, a leading cause of irreversible vision loss, gradually deteriorates the optic nerve, making early detection crucial to prevent further visual impairment. Electroretinography (ERG) ...
optometryadvisor

AAO: Machine Learning Outperforms Human Graders for Diagnosing Glaucoma

Machine learning (ML) outperforms human graders for diagnosing glaucoma. HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the ...
IEEE

Retinal Fundus Image Analysis for Early Glaucoma Detection Using Deep Learning Models

Abstract: This study investigates the use of retinal fundus pictures and deep learning techniques for the early identification of glaucoma. The dataset, sourced from the Kaggle repository, is divided ...
Hosted on MSN

AAO: Machine Learning Outperforms Human Graders for Diagnosing Glaucoma

FRIDAY, Oct. 24, 2025 (HealthDay News) -- Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of ...
BMJ

Portable devices for the diagnosis of glaucoma: a scoping review

Background Glaucoma is a leading cause of irreversible blindness worldwide. Early detection and continuous monitoring are essential to preventing vision loss, yet traditional diagnostic tools remain ...
Frontiers

Multicenter evaluation of machine and deep learning methods to predict glaucoma surgical outcomes

1 Department of Management Science and Engineering, Stanford University, Stanford, CA, United States 2 Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, CA, United ...