A5002558627- Glaucoma and retinal disorders
- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Corneal surgery and disorders
- Retinal and Optic Conditions
- Ophthalmology and Visual Impairment Studies
- Intraocular Surgery and Lenses
- Optical Coherence Tomography Applications
- Ocular Surface and Contact Lens
- Ocular Infections and Treatments
- Ophthalmology and Visual Health Research
- Cerebral Venous Sinus Thrombosis
- Visual perception and processing mechanisms
- COVID-19 diagnosis using AI
- Retinal and Macular Surgery
- Ophthalmology and Eye Disorders
- Nerve injury and regeneration
- Retinopathy of Prematurity Studies
- Brain Tumor Detection and Classification
- Patient Satisfaction in Healthcare
- Biomedical and Engineering Education
- Legal Systems and Judicial Processes
- Ocular Diseases and Behçet’s Syndrome
- Digital Imaging for Blood Diseases
- Artificial Intelligence in Healthcare and Education
Stanford University
2016-2025
University of Michigan–Ann Arbor
2025
Lenox Hill Hospital
2025
Northwell Health
2025
Smith-Kettlewell Eye Research Institute
2015-2024
Palo Alto University
2015-2024
Greater Pittsburgh Orthopaedic Associates
2023
Minneapolis Institute of Arts
2023
Stanford Medicine
2013-2020
Michigan Medicine
2019
Journal Article A Model of Financial Crises in Emerging Markets Get access Roberto Chang, Chang Rutgers University Search for other works by this author on: Oxford Academic Google Scholar Andres Velasco New York and National Bureau Economic Research The Quarterly Economics, Volume 116, Issue 2, May 2001, Pages 489–517, https://doi.org/10.1162/00335530151144087 Published: 01 2001
To demonstrate the capability of SD-OCT to measure macular retinal ganglion cell-inner plexiform layer (GCIPL) thickness and assess its reproducibility in glaucomatous eyes.Fifty-one eyes (26 mild, 11 moderate, 14 severe) 51 patients underwent scanning using Cirrus HD-OCT (Carl Zeiss Meditec, Dublin, CA) macula 200×200 acquisition protocol. Five scans were obtained on 5 days within 2 months. The cell analysis (GCA) algorithm was used detect GCIPL overall average, minimum, superotemporal,...
Purpose.: To assess the reproducibility of peripapillary retinal nerve fiber layer (RNFL) thickness and optic head (ONH) parameters measured with Cirrus HD-OCT in glaucomatous eyes. Methods.: Fifty-five eyes were included study. The disc cube 200 × protocol was used to obtain three scans during same visit evaluate intravisit reproducibility. One scan on 4 additional days within a 2-month period first session obtained intervisit Intraclass correlation coefficient (ICC), variation (CV),...
A deep learning system (DLS) that could automatically detect glaucomatous optic neuropathy (GON) with high sensitivity and specificity expedite screening for GON.To establish a DLS detection of GON using retinal fundus images glaucoma diagnosis convoluted neural networks (GD-CNN) has the ability to be generalized across populations.In this cross-sectional study, classification was developed automated obtained from Chinese Glaucoma Study Alliance, Handan Eye Study, online databases. The...
The goal of this study was to describe the development and validation an artificial intelligence-based, deep learning algorithm (DLA) for detection referable diabetic retinopathy (DR).A DLA using a convolutional neural network developed automated vision-threatening DR (preproliferative or worse, macular edema, both). tested by set 106,244 nonstereoscopic retinal images. A panel ophthalmologists graded severity in photographs included internal data sets (n = 71,043); reference standard...
Large language models (LLMs) like ChatGPT appear capable of performing a variety tasks, including answering patient eye care questions, but have not yet been evaluated in direct comparison with ophthalmologists. It remains unclear whether LLM-generated advice is accurate, appropriate, and safe for patients.To evaluate the quality ophthalmology generated by an LLM chatbot ophthalmologist-written advice.This cross-sectional study used deidentified data from online medical forum, which...
To determine the reproducibility of Stratus Optical Coherence Tomography (OCT) retinal nerve fiber layer (RNFL) measurements around optic in normal and glaucomatous eyes.One eye was chosen at random from 88 subjects 59 distributed among mild, moderate, severe glaucoma, determined by visual field testing. Subjects underwent six RNFL thickness performed a single operator over 30-minute period with brief rest between sessions. Three scans were taken high-density Standard protocol, three Fast...
BackgroundSpectral-domain optical coherence tomography (SDOCT) can be used to detect glaucomatous optic neuropathy, but human expertise in interpretation of SDOCT is limited. We aimed develop and validate a three-dimensional (3D) deep-learning system using volumes neuropathy.MethodsWe retrospectively collected dataset including 4877 disc cube for training (60%), testing (20%), primary validation (20%) from electronic medical research records at the Chinese University Hong Kong Eye Centre...
Few studies have characterized longer-term outcomes after retropubic and transobturator mid urethral slings.Women completing 2-year participation in a randomized equivalence trial who had not undergone surgical re-treatment for stress urinary incontinence were invited to participate 5-year observational cohort. The primary outcome, treatment success, was defined as no or self-reported symptoms. Secondary included symptoms quality of life, satisfaction, sexual function adverse events.Of 597...
To compare clinical assessment of diabetic eye disease by standard dilated examination with data gathered using a smartphone-based store-and-forward teleophthalmology platform.100 eyes 50 adult patients diabetes from health care safety-net ophthalmology clinic. All underwent comprehensive ophthalmic examination. Concurrently, smartphone was used to estimate near visual acuity and capture anterior posterior segment photographs, which masked, standardized review. Quantitative comparison clinic...
Abstract Importance Detection of early onset neovascular age‐related macular degeneration (AMD) is critical to protecting vision. Background To describe the development and validation a deep‐learning algorithm (DLA) for detection degeneration. Design Development DLA using retrospective datasets. Participants We developed trained 56 113 retinal images an additional 86 162 from independent dataset externally validate DLA. All were non‐stereoscopic retrospectively collected. Methods The...