From Genes, Proteins, and Clinical Manifestation: Why Do We Need to Better Understand Age-Related Macular Degeneration? [0.03%]
从基因、蛋白到临床表现：为什么我们需要更好地理解年龄相关性黄斑变性？
Steffen Schmitz-Valckenberg,Moussa A Zouache,Gregory S Hageman et al.
Steffen Schmitz-Valckenberg et al.
A Phase I, Single Ascending Dose Study of GEM103 (Recombinant Human Complement Factor H) in Patients with Geographic Atrophy [0.03%]
GEM103（重组人补体因子H）治疗地理萎缩期患者I期、单次递增剂量研究
Arshad M Khanani,Raj K Maturi,Nika Bagheri et al.
Arshad M Khanani et al.
Purpose: To establish the safety, tolerability, pharmacokinetics, and pharmacodynamics of an intravitreal injection of recombinant human complement factor H (CFH), GEM103, in individuals with genetically defined age-relat...
Structure-Function Relationships and Glaucoma Detection with Magnification Correction of OCT Angiography [0.03%]
标 magnification 校正的 OCTA 的结构功能关系及青光眼检测
Kazunori Hirasawa,Jun Yamaguchi,Koichi Nagano et al.
Kazunori Hirasawa et al.
Purpose: To investigate the effects of adjusting the ocular magnification during OCT-based angiography imaging on structure-function relationships and glaucoma detection. ...
Scleral Thickness in Steroid-Induced Central Serous Chorioretinopathy [0.03%]
由皮质类固醇诱导的中央浆液性脉络膜视网膜病变患者的巩膜厚度
Shota Sawaguchi,Nobuhiro Terao,Naoya Imanaga et al.
Shota Sawaguchi et al.
Purpose: To evaluate and compare the scleral thickness of patients with idiopathic central serous chorioretinopathy (iCSC) and steroid-induced central serous chorioretinopathy (sCSC) using anterior-segment OCT. ...
Improved Training Efficiency for Retinopathy of Prematurity Deep Learning Models Using Comparison versus Class Labels [0.03%]
基于比较与类别标签的儿童视网膜病变深度学习模型改进训练效率研究
Adam Hanif,İlkay Yıldız,Peng Tian et al.
Adam Hanif et al.
Purpose: To compare the efficacy and efficiency of training neural networks for medical image classification using comparison labels indicating relative disease severity versus diagnostic class labels from a retinopathy o...
Rapid Objective Testing of Visual Function Matched to the ETDRS Grid and Its Diagnostic Power in Age-Related Macular Degeneration [0.03%]
与ETDRS网格匹配的快速客观视觉功能测试及其在年龄相关性黄斑变性中的诊断能力
Bhim B Rai,Faran Sabeti,Corinne F Carle et al.
Bhim B Rai et al.
Purpose: To study the power of an 80-second multifocal pupillographic objective perimetry (mfPOP) test tailored to the ETDRS grid to diagnose age-related macular degeneration (AMD) by Age-Related Eye Disease Study (AREDS)...
Multimodal Imaging, OCT B-Scan Localization, and En Face OCT Detection of Macular Hyperpigmentation in Eyes with Intermediate Age-Related Macular Degeneration [0.03%]
中期年龄相关性黄斑变性眼的多模态成像、OCT B扫描定位及黄斑色素沉着的面对比OCT检测
Rita Laiginhas,Jeremy Liu,Mengxi Shen et al.
Rita Laiginhas et al.
Purpose: Multimodal imaging was used to identify and characterize the cause of hyperpigmentation seen on color fundus images (CFIs) of eyes with intermediate age-related macular degeneration (iAMD). ...
The Effect of Cataract on Color Vision Measurement with the Low-Vision Cambridge Colour Test: Providing an Adjustment Factor for Clinical Trials [0.03%]
白内障对低视力坎布拉igeshipg色觉测定的影响：临床试验中的校正因子的确定
Jasleen K Jolly,Luke Pratt,Aman K More et al.
Jasleen K Jolly et al.
Purpose: To quantify the effect of cataract on color vision as measured by the low-vision Cambridge Colour Test (lvCCT; Cambridge Research Systems) and to understand whether different types and severities of cataract have...
Image-Based Differentiation of Bacterial and Fungal Keratitis Using Deep Convolutional Neural Networks [0.03%]
基于深度卷积神经网络的微生物性角膜炎的影像区分诊断方法研究
Travis K Redd,N Venkatesh Prajna,Muthiah Srinivasan et al.
Travis K Redd et al.
Purpose: Develop computer vision models for image-based differentiation of bacterial and fungal corneal ulcers and compare their performance against human experts. ...
Deep Learning-Based Cataract Detection and Grading from Slit-Lamp and Retro-Illumination Photographs: Model Development and Validation Study [0.03%]
基于深度学习的裂隙灯和背景照明照片白内障检测与分级模型的研发和验证研究
Ki Young Son,Jongwoo Ko,Eunseok Kim et al.
Ki Young Son et al.
Purpose: To develop and validate an automated deep learning (DL)-based artificial intelligence (AI) platform for diagnosing and grading cataracts using slit-lamp and retroillumination lens photographs based on the Lens Op...