Objective To assess the methodological quality of studies on prediction models developed
using machine learning techniques across all medical specialties. Design Systematic …

Importance Glaucoma is the most common cause of irreversible blindness worldwide. Many
patients with glaucoma are asymptomatic early in the disease course. Primary care …

The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …

Because of recent advances in computing technology and the availability of large datasets,
deep learning has risen to the forefront of artificial intelligence, with performances that often …

Artificial intelligence (AI), in particular deep learning (DL), has gained significant interest
recently from healthcare systems. DL has been widely applied to detect and classify major …

Deep learning (DL) is a subset of artificial intelligence (AI), which uses multilayer neural
networks modelled after the mammalian visual cortex capable of synthesizing images in …

Purpose Advances in artificial intelligence have produced a few predictive models in
glaucoma, including a logistic regression model predicting glaucoma progression to …

The prediction and early diagnosis of eye diseases are critical for effective treatment and
prevention of vision loss. The identification of eye diseases has recently been the subject of …

The death of retinal ganglion cells (RGCs) is a key factor in the pathophysiology of all types
of glaucoma, but the mechanism of pathogenesis of glaucoma remains unclear. RGCs are a …

Surgical treatments for glaucoma have relied for decades on traditional filtering surgery such
as trabeculectomy and, in more challenging cases, tubes. Antifibrotics were introduced to …