Abstract Purpose of Review The strength of the relationship between diabetes, diabetic
retinopathy (DR), and glaucoma remains controversial. We review evidence supporting and …

Background: Having several applications in medicine, and in ophthalmology in particular,
artificial intelligence (AI) tools have been used to detect visual function deficits, thus playing …

Neural networks have been rapidly expanding in recent years, with novel strategies and
applications. However, challenges such as interpretability, explainability, robustness, safety …

In this paper, various machine learning algorithms were used in order to predict the
evolution of open-angle glaucoma (POAG). The datasets were built containing clinical …

Purpose This scoping review summarizes the applications of artificial intelligence (AI) and
bioinformatics methodologies in analysis of ocular biofluid markers. The secondary objective …

The aim of this study is to evaluate the changes related to diabetic retinopathy (DR)(no
changes, small or moderate changes) in patients with glaucoma and diabetes using artificial …

Objective Evidence from observational studies has reported possible associations between
the gut microbiome (GM) and glaucoma. However, the causal effect of GM on glaucoma risk …

Artificial intelligence (AI) is widely discussed in the popular literature and is portrayed as
impacting many aspects of human life, both in and out of the workplace. The potential for …

In ophthalmology, artificial intelligence methods show great promise due to their potential to
enhance clinical observations with predictive capabilities and support physicians in …

Purpose This review focuses on utility of artificial intelligence (AI) in analysis of biofluid
markers in glaucoma. We detail the accuracy and validity of AI in the exploration of …