The extensive growth of data in the health domain has increased the utility of Deep Learning
in health. Deep learning is a highly advanced successor of artificial neural networks, having …

The incidence of retinopathy of prematurity (ROP) continues to rise due to the improved
survival of very low birth weight infants in developed countries. This epidemic is also fueled …

Using medical images to evaluate disease severity and change over time is a routine and
important task in clinical decision making. Grading systems are often used, but are …

The condition known as Plus disease is distinguished by atypical alterations in the retinal
vasculature of neonates born prematurely. It has been demonstrated that the diagnosis of …

Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The
diagnosis of ROP is subclassified by zone, stage, and plus disease, with each area …

Importance Retinopathy of prematurity (ROP) is a leading cause of blindness in children,
with significant disparities in outcomes between high-income and low-income countries, due …

Purpose: This study describes the initial development of a deep learning algorithm, ROP. AI,
to automatically diagnose retinopathy of prematurity (ROP) plus disease in fundal images …

Background Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is
diagnosed through interval screening by paediatric ophthalmologists. However, improved …

Artificial intelligence has rapidly evolved from the experimental phase to the implementation
phase in many image-driven clinical disciplines, including ophthalmology. A combination of …

Real-world implementation of artificial intelligence for ROP diagnosis will require massive
efforts targeted at develo** standards for data acquisition, true external validation, and …