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 …

Introduction Polycystic Ovarian Syndrome (PCOS) is the most common endocrinopathy in
women of reproductive age and remains widely underdiagnosed leading to significant …

Artificial Intelligence (AI) for health has a great potential; it has already proven to be
successful in enhancing patient outcomes, facilitating professional work and benefiting …

Utilization of digital technologies for cataract screening in primary care is a potential solution
for addressing the dilemma between the growing aging population and unequally …

Objectives: Health economic evaluations (HEEs) help healthcare decision makers
understand the value of new technologies. Artificial intelligence (AI) is increasingly being …

Purpose Epidemiological changes in retinopathy of prematurity (ROP) depend on neonatal
care, neonatal mortality, and the ability to carefully titrate and monitor oxygen. We evaluate …

Background and Motivation: Parkinson's disease (PD) is one of the most serious, non-
curable, and expensive to treat. Recently, machine learning (ML) has shown to be able to …

Background Retinoblastoma is the most common intraocular malignancy in childhood. With
the advanced management strategy, the globe salvage and overall survival have …

Purpose The primary objective of this study was to develop and validate an AI algorithm as a
screening tool for the detection of retinopathy of prematurity (ROP). Participants Images …

Artificial Intelligence (AI) has become a focus of research in the rapidly evolving field of
ophthalmology. Nevertheless, there is a lack of systematic studies on the health economics …