A5026587624- Retinal Diseases and Treatments
- Retinal Imaging and Analysis
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
- Retinal and Macular Surgery
- Intraocular Surgery and Lenses
- Ocular Diseases and Behçet’s Syndrome
- Cerebral Venous Sinus Thrombosis
- Hemoglobinopathies and Related Disorders
- Retinal Development and Disorders
- Ocular Oncology and Treatments
- Optical Coherence Tomography Applications
- Ocular Infections and Treatments
- Cerebrovascular and Carotid Artery Diseases
- Acute Ischemic Stroke Management
- Digital Imaging for Blood Diseases
- Vascular Malformations Diagnosis and Treatment
- Ophthalmology and Visual Impairment Studies
- Cytomegalovirus and herpesvirus research
- Blood groups and transfusion
- Neuroscience and Neural Engineering
- Corneal Surgery and Treatments
- Angiogenesis and VEGF in Cancer
- Coronary Interventions and Diagnostics
- Traumatic Ocular and Foreign Body Injuries
University of Illinois Chicago
2016-2025
Sejong University
2024
Multimedia University
2024
University of Illinois Urbana-Champaign
2010-2024
Illinois College
2022-2024
Walker-Moffat (United States)
2023
Johns Hopkins University
1992-2023
New York Eye and Ear Infirmary
2008-2022
Stanford University
2022
Historic Deerfield
2022
<h3>Importance</h3> Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Early detection and intervention can prevent blindness; however, many patients do not receive their recommended annual diabetic eye examinations, primarily owing to limited access. <h3>Objective</h3> To evaluate the safety accuracy an artificial intelligence (AI) system (the EyeArt Automated DR Detection System, version 2.1.0) detecting both more-than-mild (mtmDR) vision-threatening (vtDR)....
To compare general ophthalmologists, retina specialists, and the EyeArt Artificial Intelligence (AI) system to clinical reference standard for detecting more than mild diabetic retinopathy (mtmDR).Prospective, pivotal, multicenter trial conducted from April 2017 May 2018.Participants were aged ≥ 18 years who had diabetes mellitus underwent dilated ophthalmoscopy. A total of 521 893 participants met these criteria completed study protocol.Participants 2-field fundus photography (macula...
PurposeTo evaluate 2-year efficacy, durability, and safety of the bispecific antibody faricimab, which inhibits both angiopoietin-2 VEGF-A.DesignTENAYA (ClinicalTrials.gov identifier, NCT03823287) LUCERNE NCT03823300) were identically designed, randomized, double-masked, active comparator-controlled phase 3 noninferiority trials.ParticipantsTreatment-naive patients with neovascular age-related macular degeneration (nAMD) 50 years age or older.MethodsPatients randomized (1:1) to intravitreal...
<h3>Objective</h3> To compare the treatment effect and safety of photodynamic therapy with verteporfin using a standard (SF) or reduced (RF) light fluence rate that placebo in patients subfoveal minimally classic choroidal neovascularization (CNV) age-related macular degeneration. <h3>Design</h3> Phase 2, multicenter, double-masked, placebo-controlled, randomized clinical trial. <h3>Setting</h3> Nineteen ophthalmology practices North America Europe. <h3>Participants</h3> Patients initial...
Intravitreous aminoglycosides are widely used for the treatment and prophylaxis of endophthalmitis. Because toxicity 0.4 mg gentamicin sulfate is well documented, many surgeons now use amikacin or low-dose to reduce risk macular infarction. A survey retinal specialists has suggested that can also cause toxic side effects. To further investigate this issue, critical details case histories, findings, course 13 patients who received intravitreous injections 0.2 0.1 endophthalmitis summarized....
Purpose: This study aims to characterize quantitative optical coherence tomography angiography (OCTA) features of nonproliferative diabetic retinopathy (NPDR) and validate them for computer-aided NPDR staging. Methods: One hundred twenty OCTA images from 60 (mild, moderate, severe stages) patients 40 20 control subjects were used this conducted in a tertiary, subspecialty, academic practice. Both eyes photographed all the OCTAs 6 mm × macular scans. Six features, that is, blood vessel...
Purpose: To test the feasibility of using deep learning for optical coherence tomography angiography (OCTA) detection diabetic retinopathy (DR). Methods: A convolutional neural network (CNN) architecture VGG16 was employed this study. transfer process implemented to re-train CNN robust OCTA classification. In order demonstrate method artificial intelligence (AI) screening DR in clinical environments, re-trained incorporated into a custom developed GUI platform which can be readily operated...