The eyes possess sophisticated physiological structures, diverse disease targets, limited
drug delivery space, distinctive barriers, and complicated biomechanical processes …

Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by
high-resolution three-dimensional optical coherence tomography (OCT), which is used …

Diabetic macular edema (DME), defined as retinal thickening near, or involving the fovea
caused by fluid accumulation in the retina, can lead to vision impairment and blindness in …

This study aimed to validate and evaluate deep learning (DL) models for screening of high
myopia using spectral-domain optical coherence tomography (OCT). This retrospective …

Deep neural networks (DNNs) have achieved physician-level accuracy on many imaging-
based medical diagnostic tasks, for example classification of retinal images in …

Artificial intelligence (AI) and deep learning (DL)-based systems have gained wide interest
in macular disorders, including diabetic macular edema (DME). This paper aims to validate …

Myopia is a serious threat to eye health and can even cause blindness. It is important to
grade myopia and carry out targeted intervention. Nowadays, various studies using deep …

Objectives To assess the therapeutic response to brolucizumab and aflibercept by deep
learning/OCT-based analysis of macular fluid volumes in neovascular age-related macular …

Purpose To predict visual outcomes and treatment needs in a treat & extend (T&E) regimen
in neovascular age-related macular degeneration (nAMD) using a machine learning model …

Traditional dilated ophthalmoscopy can reveal diseases, such as age-related macular
degeneration (AMD), diabetic retinopathy (DR), diabetic macular edema (DME), retinal tear …