The advent of generative artificial intelligence and large language models has ushered in
transformative applications within medicine. Specifically in ophthalmology, large language …

The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …

Primary diabetes care and diabetic retinopathy (DR) screening persist as major public
health challenges due to a shortage of trained primary care physicians (PCPs), particularly …

Retinal vasculature provides an opportunity for direct observation of vessel morphology,
which is linked to multiple clinical conditions. However, objective and quantitative …

This study aims to find various obstacles, describe, and provide strategies for parents when
accompanying and providing direction to their children in distance learning. The method …

The advent of optical coherence tomography (OCT) revolutionized both clinical assessment
and research of vitreoretinal conditions. Since then, extraordinary advances have been …

Diabetes is a global public health disease projected to affect 642 million adults by 2040, with
about 75% residing in low-and middle-income countries. Diabetic retinopathy (DR) affects 1 …

Background Nonophthalmologist physicians do not confidently perform direct
ophthalmoscopy. The use of artificial intelligence to detect papilledema and other optic-disk …

The lack of comprehension and interest of students in the material being taught is still felt
today. Therefore, a breakthrough was created in the form of procurement of educational …

Importance The lack of experienced ophthalmologists limits the early diagnosis of retinal
diseases. Artificial intelligence can be an efficient real-time way for screening retinal …