Abstract:PurposeThe effect of interventional time for 3% Diquafosol reatment in post-cataract surgery has not been well established. A meta-analysis was performed to evaluate the improvement of ocular surface condition in post-cataract surgery patients who received 3% DQS for various treatment durations.
Abstract:BackgroundMonoclonal antibodies such as rituximab (RTX), eculizumab, inebilizumab, satralizumab, and tocilizumab have been found to be effective therapies for neuromyelitis optica spectrum disease (NMOSD) in several clinical randomized controlled trials.
Abstract:PurposeTo observe the expression differences and potential effects of autophagy-related Beclin1 (mammalian Atg6) and Uncoordinated-51 like kinase 1 (ULK1) in the oxygen-induced retinopathy (OIR) model.
Keywords:Retinopathy of prematurity; Autophagy; Retina; Beclin1; Uncoordinated-51 like kinase 1 (ULK1)
Abstract:PurposePhantom eye pain (PEP) is a major clinical problem after eye removal with no standard treatment protocol to date. As pain is a multidimensional experience associated with emotional and cognitive components, this study aimed to explore the possible neuropsychological mechanisms of PEP in a perspective of emotional cognition, in order to provide a basis for clinical treatment.
Keywords:Phantom eye pain; Event-related potentials; External emotions; Affective states
Abstract:PurposeTo analyse the differences between 30° blue autofluorescence (BAF30), 55° blue autofluorescence (BAF55) and 200° green Ultra-Wide Field autofluorescence (UWF200) imaging to detect retinal displacement (RD) after vitrectomy surgery for rhegmatogenous retinal detachment (RRD).
Abstract:ObjectiveDue to limited imaging conditions, the quality of fundus images is often unsatisfactory, especially for images photographed by handheld fundus cameras. Here, we have developed an automated method based on combining two mirror-symmetric generative adversarial networks (GANs) for image enhancement.
Abstract:BackgroundThe ophthalmology field was among the first to adopt artificial intelligence (AI) in medicine. The availability of digitized ocular images and substantial data have made deep learning (DL) a popular topic.