The healthcare burden of cardiovascular diseases remains a major issue worldwide.
Understanding the underlying mechanisms and improving identification of people with a …

Background Bibliometric analysis is a quantitative method which applies mathematical and
statistical tools to evaluate the inter-relationships and impacts of publications, authors …

Background: We selected authors from mainland China, Hong Kong, and Taiwan (CHT) to
examine citation trends on articles and keywords. The existence of suitable temporal bar …

Purpose This study aims to analyse the literature published on ChatGPT and generative pre-
trained transformer (GPT) available through Scopus to identify the top countries, institutions …

Pterygium is a prevalent ocular disease that can cause discomfort and vision impairment.
Early and accurate diagnosis is essential for effective management. Recently, artificial …

Purpose To provide an overview on global uveitis research in the last decade in terms of
countries/regions, organizations, scholars, journals, trending topics, and fundings. Methods …

Background: Artificial intelligence (AI) has been used in the research of ophthalmic disease
diagnosis, and it may have an impact on medical and ophthalmic practice in the future. This …

Diabetic retinopathy (DR) remains one of the world's frequent eye illnesses, leading to vision
loss among working-aged individuals. Hemorrhages and exudates are examples of signs of …

The concept of artificial intelligence (AI) was first introduced in the 1950s, referring to “the
machine simulation of human mental reasoning, decision making, and behavior”[1-2] …

Purpose: To evaluate the overall performance of various Artificial Intelligence (AI) models in
ophthalmology for the diagnosis of various ophthalmic diseases despite of variations in …