Latest AI and machine learning research in glaucoma for healthcare professionals.
Optic disc (OD) and optic cup (OC) segmentation are important steps for automatic screening and diag...
Widespread adoption of electronic health records (EHRs) has resulted in the collection of massive am...
We developed a hybrid deep learning model (HDLM) algorithm that quantitatively predicts macular gang...
PURPOSE: The purpose of this study was to develop a 3D deep learning system from spectral domain opt...
PURPOSE: To investigate whether processing visual field (VF) measurements using a variational autoen...
BACKGROUND/AIMS: To compare intraocular pressure (IOP) measurements using a prototype smartphone ton...
PURPOSE: To assess the performance of machine learning classifiers for prediction of progression of ...
PURPOSE: To quantify the central visual field (VF) loss patterns in glaucoma using artificial intell...
PURPOSE: To develop a deep learning (DL) model for automated detection of glaucoma and to compare di...
Machine learning and artificial intelligence are mostly important if data analysis by knowledge-base...
An overview of the applications of deep learning for ophthalmic diagnosis using retinal fundus image...
PURPOSE: To compare the diagnostic performance of human gradings vs predictions provided by a machin...
PURPOSE: The purpose of this study was to develop a machine learning model to forecast future circum...
Multi-indices quantification of optic nerve head (ONH), measuring ONH appearance with multiple types...
Despite the potential to revolutionise disease diagnosis by performing data-driven classification, c...
Glaucoma is a result of irreversible damage to the retinal ganglion cells. While an early interventi...
Glaucoma is a chronic and widespread eye disease threatening humans' irreversible vision loss. The c...
Glaucoma is one of the leading causes of irreversible but preventable blindness in working age popul...
PURPOSE: To develop and validate a deep learning (DL) algorithm that predicts referable glaucomatous...
Deep learning (DL) is a subset of artificial intelligence (AI), which uses multilayer neural network...
PURPOSE: To assess the diagnostic accuracy of multiple machine learning models using full retinal ne...