Aaron S. Coyner
A5004322198- Retinopathy of Prematurity Studies
- Neonatal and fetal brain pathology
- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Neonatal Respiratory Health Research
- Retinal Development and Disorders
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
- Artificial Intelligence in Healthcare
- Non-Invasive Vital Sign Monitoring
- Cardiovascular Conditions and Treatments
- Image Processing Techniques and Applications
- Neonatal and Maternal Infections
- Cell Image Analysis Techniques
- Preterm Birth and Chorioamnionitis
- AI in cancer detection
- Neonatal Health and Biochemistry
- Machine Learning in Healthcare
- Wireless Body Area Networks
- Retinal and Macular Surgery
- Data Analysis with R
- Autopsy Techniques and Outcomes
- Drug-Induced Ocular Toxicity
- Eicosanoids and Hypertension Pharmacology
- Ocular and Laser Science Research
Oregon Health & Science University
2015-2024
Massachusetts General Hospital
2024
Pacific University Oregon
2023
Institute for Medical Informatics and Biostatistics
2018-2021
Retinopathy of prematurity (ROP) is a leading cause preventable blindness that disproportionately affects children born in low- and middle-income countries (LMICs). In-person telemedical screening examinations can reduce this risk but are challenging to implement LMICs owing the multitude at-risk infants lack trained ophthalmologists.
Importance One of the biggest challenges when using anti–vascular endothelial growth factor (VEGF) agents to treat retinopathy prematurity (ROP) is need perform long-term follow-up examinations identify eyes at risk ROP reactivation requiring retreatment. Objective To evaluate whether an artificial intelligence (AI)–based vascular severity score (VSS) can be used analyze regression and after anti-VEGF treatment potentially Design, Setting, Participants This prognostic study was a secondary...
Purpose: Prospective treatments for age-related macular degeneration and inherited retinal degenerations are commonly evaluated in the Royal College of Surgeons (RCS) rat before translation into clinical application. Historically, thickness obtained through postmortem anatomic assessments has been a key outcome measure; however, utility this measurement is limited because it precludes ability to perform longitudinal studies. To overcome limitation, present study was designed provide baseline...
Generative adversarial networks (GANs) are deep learning (DL) models that can create and modify realistic-appearing synthetic images, or deepfakes, from real images. The purpose of our study was to evaluate the ability experts discern synthesized retinal fundus images review current uses limitations GANs in ophthalmology.Development expert evaluation a GAN an informal literature.A total 4282 image pairs vessel maps acquired multicenter ROP screening program.Pix2Pix HD, high-resolution GAN,...
Developing robust artificial intelligence (AI) models for medical image analysis requires large quantities of diverse, well-chosen data that can prove challenging to collect because privacy concerns, disease rarity, or diagnostic label quality. Collecting image-based datasets retinopathy prematurity (ROP), a potentially blinding disease, suffers from these challenges. Progressively growing generative adversarial networks (PGANs) may help, they synthesize highly realistic images increase both...
Retinopathy of prematurity (ROP) telemedicine screening programs have been found to be effective, but they rely on widefield digital fundus imaging (WDFI) cameras, which are expensive, making them less accessible in low- middle-income countries. Cheaper, smartphone-based (SBFI) systems described, these a narrower field view (FOV) and not tested real-world, operational setting.
Retinopathy of prematurity (ROP) is a leading cause childhood blindness. Screening and treatment reduces this risk, but requires multiple examinations infants, most whom will not develop severe disease. Previous work has suggested that artificial intelligence may be able to detect incident disease (treatment-requiring retinopathy [TR-ROP]) before clinical diagnosis. We aimed build risk model combined with demographics reduce the number without missing cases TR-ROP.Infants undergoing routine...
Accurate diagnosis of retinopathy prematurity (ROP) is essential to provide timely treatment and reduce the risk blindness. However, components an ROP examination are subjective qualitative.
Nickel (Ni) is a naturally occurring element with many industrial uses, including in stainless steel, electroplating, pigments, and ceramics. Consequently, Ni may enter the environment from anthropogenic sources, resulting locally elevated concentrations soils. However, minor essential element, and, therefore, biota have established systems that maintain homeostasis. This paper discusses role of as an reviews storage, uptake, transport used to homeostasis within terrestrial biota. The...
To evaluate the performance of a deep learning (DL) algorithm for retinopathy prematurity (ROP) screening in Nepal and Mongolia.Retrospective analysis prospectively collected clinical data.Clinical information fundus images were obtained from infants 2 ROP programs Mongolia.Fundus using Forus 3nethra neo (Forus Health) RetCam Portable (Natus Medical, Inc.) Mongolia. The overall severity was determined medical record International Classification (ICROP). presence plus disease independently...
Although race is a social construct, it associated with variations in skin and retinal pigmentation. Image-based medical artificial intelligence (AI) algorithms that use images of these organs have the potential to learn features self-reported (SRR), which increases risk racially biased performance diagnostic tasks; understanding whether this information can be removed, without affecting AI algorithms, critical reducing racial bias AI.
Abstract We conducted a genome-wide association study (GWAS) in multiethnic cohort of 920 at-risk infants for retinopathy prematurity (ROP), major cause childhood blindness, identifying 1 locus at significance level (p < 5×10 -8 ) and 9 with p -6 ROP ≥ stage 3. The most significant locus, rs2058019, reached within the full = 4.96×10 -9 ); Hispanic European Ancestry driving association. lead single nucleotide polymorphism (SNP) falls an intronic region Glioma-associated oncogene family...
To develop a generative adversarial network (GAN) to segment major blood vessels from retinal flat-mount images oxygen-induced retinopathy (OIR) and demonstrate the utility of these GAN-generated vessel segmentations in quantifying vascular tortuosity.
Purpose To assess the neuroprotective effects of flibanserin (formerly BIMT-17), a dual 5-HT1A agonist and 5-HT2A antagonist, in light-induced retinopathy model. Methods Albino BALB/c mice were injected intraperitoneally with either vehicle or increasing doses ranging from 0.75 to 15 mg/kg flibanserin. 5-HT1A-mediated effects, 10 WAY 100635, prior 6 knockout Injections administered once immediately light exposure over course five days. Light lasted for one hour at an intensity 10,000 lux....
Purpose: To determine if sarpogrelate, a selective 5-HT2A receptor antagonist, is protective against light-induced retinopathy in BALB/c mice. Methods: mice were dosed intraperitoneally with 5, 15, 30, 40, or 50 mg/kg sarpogrelate 48, 24, and 0 hours prior to bright light exposure (10,000 lux) as well 24 48 after exposure. Additionally, single injection regimen was evaluated by injecting once immediately investigate the potential for additive effects of serotonin agents, combination therapy...
The use of anti-VEGF therapy as the primary treatment for retinopathy prematurity (ROP) has generated attention to potential long-term avascularity peripheral retina after initial treatment. most recent International Classification Retinopathy Prematurity, Third Edition, formally termed this finding "persistent avascular retina" (PAR) and recognized that it can occur spontaneous regression or treatment.1Chiang M.F. Quinn G.E. Fielder A.R. et al.International Edition.Ophthalmology. 2021; 128:...