In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …

Retinal diseases are a leading cause of blindness in developed countries, accounting for
the largest share of visually impaired children, working-age adults (inherited retinal …

Artificial intelligence (AI) has the potential to revolutionize the neonatal intensive care unit
(NICU) care by leveraging the large-scale, high-dimensional data that are generated by …

Artificial intelligence (AI) is an unstoppable force that is starting to permeate all aspects of
our society as part of the revolution being brought into our lives (and into medicine) by the …

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 …

One of the most serious and dangerous ocular problems in premature infants is retinopathy
of prematurity (ROP), a proliferative vascular disease. Ophthalmologists can use automatic …

Retinopathy of Prematurity (ROP) affects preterm neonates and could cause blindness.
Deep Learning (DL) can assist ophthalmologists in the diagnosis of ROP. This paper …

Retinopathy of prematurity (ROP) is a leading cause of preventable vision loss in preterm
infants. While appropriate screening is crucial for early identification and treatment of ROP …

Importance Artificial intelligence (AI)–based retinopathy of prematurity (ROP) screening may
improve ROP care, but its cost-effectiveness is unknown. Objective To evaluate the relative …

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