Potter Petty (plowbulb3)

and ANA positive, seen in a uveitis referral center. The presence of granulomatous features in bilateral uveitis in ANA-positive pediatric patients should not exclude the diagnosis of JIA-related uveitis, even in the absence of systemic involvement, as this entity presents a much more severe uveitis than other granulomatous anterior uveitis entities. This study evaluated real-world treatment of dry eye disease (DED) with lifitegrast. Ophthalmologists and optometrists treating patients with DED were invited to participate through a healthcare provider (HCP)-based panel. HCPs completed a provider survey and contributed data toward a chart review for up to five qualifying patients with DED who initiated lifitegrast ophthalmic solution (index date) between 01/01/2017 (US) or 01/01/2018 (Canada) and 06/30/2019. Patient demographics, treatments, clinical characteristics, and outcomes (ie, severity, signs, symptoms) were collected for the 6-month pre-index period and up to 12-months post-index. For this study, 517 HCPs contributed 600 patient charts. Among 554 and 281 patients with follow-up at 6 and 12-months post-index, 512 (92.4%) and 238 (84.7%) patients had ongoing lifitegrast treatment, respectively. Dulaglutide molecular weight Other DED-related treatments were less frequently used post-index with lifitegrast vs pre-index over-the-counter artificial tear use (45.2% vs 75.5%), tnths post-index with reduction in overall treatment burden. Improvement in DED signs and symptoms, including QoL impacts, was evident at 3 months and up to 12 months after lifitegrast initiation. Deep Learning (DL) and Artificial Intelligence (AI) have become widespread due to the advanced technologies and availability of digital data. Supervised learning algorithms have shown human-level performance or even better and are better feature extractor-quantifier than unsupervised learning algorithms. To get huge dataset with good quality control, there is a need of an annotation tool with a customizable feature set. This paper evaluates the viability of having an in house annotation tool which works on a smartphone and can be used in a healthcare setting. We developed a smartphone-based grading system to help researchers in grading multiple retinal fundi. The process consisted of designing the flow of user interface (UI) keeping in view feedback from experts. Quantitative and qualitative analysis of change in speed of a grader over time and feature usage statistics was done. The dataset size was approximately 16,000 images with adjudicated labels by a minimum of 2 doctors. Results for an AI model traibased diagnostic applications are utilised. To investigate the clinical features and surgical outcomes of rhegmatogenous retinal detachment (RRD) associated with giant retinal tears (GRTs) at a tertiary referral center. A retrospective, non-consecutive interventional case series of GRT-associated RRDs that underwent primary surgical repair at the University of Michigan W.K. Kellogg Eye Center between January 1, 2011 and July 1, 2020. Clinical characteristics and preoperative, perioperative, and postoperative data were collected. Forty-eight eyes of 47 patients with GRT-associated RRDs met inclusion criteria, including those that were children (under 12 years, N=4, 8.3%), associated with a history of trauma (N=20, 41.7%) or with grade C proliferative vitreoretinopathy (PVR-C) (N=7, 14.6%) at baseline. Median age was 46 years (interquartile range (IQR) 29 years, range 4 to 72 years), median follow-up was 28 months (IQR 43 months, range 3-124 months), and 83.3% (N=40) of subjects were male. Primary surgical repair for GRT-associated RRDs included paorable final anatomic and visual outcomes comparable to other modern GRT series. To assess the efficacy of pars plana vitrectomy (PPV) and silicone oil tamponade for management of myopic retinal detachment associated with macular hole