Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global
interest in recent years. DL has been widely adopted in image recognition, speech …

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) …

Artificial Intelligence (AI) has long promised to increase healthcare affordability, quality and
accessibility but FDA, until recently, had never authorized an autonomous AI diagnostic …

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 …

Objectives To assess the role of artificial intelligence (AI)-based automated software for
detection of diabetic retinopathy (DR) and sight-threatening DR (STDR) by fundus …

Many important eye diseases as well as systemic diseases manifest themselves in the
retina. While a number of other anatomical structures contribute to the process of vision, this …

Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic
retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be …

This paper presents a computer-aided screening system (DREAM) that analyzes fundus
images with varying illumination and fields of view, and generates a severity grade for …

Importance The diagnostic accuracy of computer detection programs has been reported to
be comparable to that of specialists and expert readers, but no computer detection programs …

Abstract Purpose of Review This paper systematically reviews the recent progress in
diabetic retinopathy screening. It provides an integrated overview of the current state of …