Retinal Neovascularization

his study evaluates the clinical utility of an artificial intelligence (AI)-assisted lesion-based urgent referral triage system for ultra-widefield (UWF) retinal images. Unlike disease-classification systems, the AI system identifies predefined vision-threatening retinal findings and generates lesion-level urgent referral recommendations. Participating ophthalmologists will evaluate UWF retinal images under randomized AI-assisted and unassisted conditions. The primary objective is to determine whether lesion-based AI assistance improves urgent referral triage performance compared with unaided image interpretation.

The purpose of this study is to evaluate the effectiveness of adding curcumin oral treatment to bevacizumab intravitreal injection in patients with central macular edema. A blind study and a randomized and controlled clinical trial are conducted on diabetic patients with macular edema. The patients are divided into two intervention groups (bevacizumab + curcumin) and control (bevacizumab + placebo). The evaluation of the central thickness of the macula and the evaluation of the central volume of the macula are the primary goals and the evaluation of the best visual acuity of the patient is the secondary goal.