Although the prevalence of all stages of diabetic retinopathy has been declining since 1980
in populations with improved diabetes control, the crude prevalence of visual impairment …

The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …

Retinal fundus diseases can lead to irreversible visual impairment without timely diagnoses
and appropriate treatments. Single disease-based deep learning algorithms had been …

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) …

Importance A deep learning system (DLS) is a machine learning technology with potential
for screening diabetic retinopathy and related eye diseases. Objective To evaluate the …

Artificial intelligence and automation are topics dominating global discussions on the future
of professional employment, societal change, and economic performance. In this paper, we …

Importance A deep learning system (DLS) that could automatically detect glaucomatous
optic neuropathy (GON) with high sensitivity and specificity could expedite screening for …

Diabetic retinopathy (DR) results in vision loss if not treated early. A computer-aided
diagnosis (CAD) system based on retinal fundus images is an efficient and effective method …

Background Diabetic retinopathy (DR), the primary retinal vascular complication of diabetes
mellitus (DM), is a leading cause of vision impairment and blindness in working-age …

AI technology has a long history which is actively and constantly changing and growing. It
focuses on intelligent agents, which contain devices that perceive the environment and …