Current guidelines recommend that individuals with diabetes receive yearly eye exams for
detection of referable diabetic retinopathy (DR), one of the leading causes of new-onset …

Recent advancements in artificial intelligence (AI) herald transformative potentials for
resha** glaucoma clinical management, improving screening efficacy, sharpening …

Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. The risk
of DR progression is highly variable among different individuals, making it difficult to predict …

Artificial intelligence (AI) models have shown great accuracy in health screening. However,
for real-world implementation, high accuracy may not guarantee cost-effectiveness …

Glaucoma is the leading cause of irreversible blindness worldwide, currently affecting
around 80 million people. Glaucoma prevalence is rapidly rising in the United States due to …

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 …

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 …

The increasing prevalence of myopia worldwide presents a significant public health
challenge. A key strategy to combat myopia is with early detection and prediction in children …

Visual impairments and blindness are major public health concerns globally. Effective eye
disease screening aided by artificial intelligence (AI) is a promising countermeasure …

Glaucoma is the third leading cause of blindness worldwide and is primarily characterized
by elevated intraocular pressure (IOP). Common risk factors such as age, myopia, ocular …