Aims To construct a program to predict the visual acuity (VA), best corrected VA (BCVA) and spherical equivalent (SE) of patients with retinopathy of prematurity (ROP) from 3 to 12 years old after ...

Aim To report the outcome of treatment of localised non-invasive ocular surface squamous neoplasia (OSSN) where topical 5-fluorouracil (5-FU 1%) is used as an adjuvant to surgical excision. Methods ...

Objective There has long been a great interest in neuroprotection therapy for ischaemic stroke and various types of optic neuropathies. In view of that, I reviewed the literature on the role of ...

The treatment of diabetic macular oedema (DMO) likely involves a series of treatment episodes separated by gaps during which ...

Background Acute dacryocystitis (AD) is primarily related to nasolacrimal duct obstruction and is associated with a high morbidity, particularly in the elderly. This study aims to determine ...

Background Diabetic retinopathy (DR) is a leading cause of blindness, with an increasing reliance on large language models ...

This study aims to assess the accuracy of CT imaging in estimating intraocular foreign body (IOFB) size by comparing pre-operative radiological measurements with post-surgical dimensions. A ...

Aim To assess if performing two visual field (VF) tests per eye on the same visit (frontloading) can increase perimetric data and decrease longitudinal variability compared with one test per eye.

Anti-vascular endothelial growth factor (VEGF) therapy has revolutionised the treatment of retinal disease, and appears to be very safe. Nevertheless, there are several lines of evidence that imply ...

Purpose: To evaluate the effect of intravitreal bevacizumab (Avastin) injections on visual acuity (VA) and foveal retinal thickness in patients with macular oedema secondary to branch retinal vein ...

Background/aims National guidelines of many countries set screening intervals for diabetic retinopathy (DR) based on grading of the last screening retinal images. We explore the potential of deep ...

Background Artificial intelligence (AI) in medical imaging diagnostics has huge potential, but human judgement is still indispensable. We propose an AI-aided teaching method that leverages generative ...