Clinical trials: Fundus Photography
Stroke, Cerebrovascular Accidents
Multimodal Retinal Imaging of Cerebrovascular Stroke
The hypothesis is that in patients with stroke, abnormalities of retinal microvascularization shown on color fundus photography and the depletion of retinal capillary density evaluated by OCT-A are markers of acute impairment of…
- Trial name
- OCTAV (NCT03964610)
- Testing
- color fundus photography (CFP) and OCT-A
- Where
- France
- Volunteers
- 62 people
- Sponsor
- Fondation Ophtalmologique Adolphe de Rothschild
Diabetes, Retinal Disorders
Rapid, Non-invasive, Regional Functional Imaging of the Retina. (Diabetic Retinopathy Diagnosis Device)
The basic objective of this project is to test a modification of existing technology for monitoring the responses of the pupil to light as a method for detecting regional losses of function of the retina.
- Trial name
- NCT01546766
- Testing
- Pupillometry testing.
- Where
- 2 sites in United States
- Volunteers
- 315 people, healthy volunteers welcome
- Sponsor
- University of California, Los Angeles
Drusen Stage Macular Degeneration
Measurement and Analysis of Macular Retinal Pigment Epithelium (RPE) Elevations With Cirrus HD-OCT vs. Color Fundus Photography
The objective of this study is to compare the areas designated as elevated retinal pigment epithelium (RPE) by the Cirrus HD-OCT versus those designated as drusen on color fundus photographs (CFPs).
- Trial name
- NCT01272063
- Where
- 4 sites in United States
- Volunteers
- 91 people
- Sponsor
- Carl Zeiss Meditec, Inc.
Age-related Macular Degeneration, Age-related Maculopathy
GARM II: A Study on the Genetics of Age-related Maculopathy
The original study (GARM I) has been conducted for more than 18 years at the University of Pittsburgh Medical Center (UPMC). GARM II is a nationwide research study about age-related macular degeneration in the next generation of…
- Trial name
- NCT01115387
- Testing
- Observational-1, Observational-2
- Where
- 2 sites in United States
- Volunteers
- 603 people, healthy volunteers welcome
- Sponsor
- University of California, Los Angeles
Diabetic Retinopathy, Diabetic Macular Edema
Comparing Artificial Intelligence for Assisted Diagnosis of Diabetic Retinopathy
This study plans to compare the accuracy of artificial intelligence (AI)-assisted fundus images with other ophthalmic devices such as optical coherence tomography (OCT) and fundus fluorescence angiography (FFA) in the diagnosis…
- Trial name
- NCT06423274
- Testing
- fundus photography, optical coherence tomography, fundus fluorescence angiography
- Where
- China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Zhejiang University
Pregnancy
Retinal Vascular Changes During Pregnancy
The goal of this study is to better understand how the back part of the eye-called the retina and the choroid-changes during pregnancy.
- Trial name
- NCT06311617
- Testing
- Optical coherence tomography
- Where
- United States
- Volunteers
- 90 people
- Sponsor
- Vanderbilt University Medical Center
Evaluate Performance of New Fundus Camera
Assessment of Prototype Hand-held Fundus Camera
This is the proof of concept study to evaluate the performance of an early stage prototype of a hand-held fundus camera.
- Trial name
- NCT01244412
- Where
- United States
- Volunteers
- 1 people, healthy volunteers welcome
- Sponsor
- University of Rochester
Headache, Acute, Focal Neurologic Disease
Digital Ocular Fundus Photography in the Emergency Department: A New Application for Telemedicine?
The purpose of this study is to determine if non-dilated retinal photography in the emergency room improves the diagnosis of papilledema (optic nerve swelling) in patients with neurologic disease compared to direct ophthalmoscopy.
- Conditions
- Headache, Acute, Focal Neurologic Disease, Severely Elevated Blood Pressure, Acute Visual Loss
- Trial name
- NCT00873613
- Testing
- Use of Non-dilated retinal photography
- Where
- United States
- Volunteers
- 705 people
- Sponsor
- Emory University
Age-Related Macular Degeneration (AMD), Diabetic Retinopathy (DR)
Artificial Intelligence-Aided Screening for Patients With Diabetic Retinopathy and Age-related Macular Degeneration in Family Medicine and Geriatric Medicine Outpatient Clinics
Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are leading causes of vision loss, with rising incidence due to aging populations and increasing diabetes prevalence.
- Trial name
- NCT07069647
- Testing
- VeriSee AI-assisted screening tools for diabetic retinopathy and age-related macular degeneration, Standard fundus photography with physician interpretation
- Where
- Taiwan
- Volunteers
- 4,300 people
- Sponsor
- National Taiwan University Hospital
Retinal Imaging
Quality and Diagnostic Utility of Mydriatic Fundus Plenoptic Photography
1. Establish the quality of fundus images produced by plenoptic ophthalmoscopy using the grading system proposed and utilized in the Fundus Photography versus Ophthalmoscopy Trials Outcomes in the Emergency Department (FOTO-ED)…
- Trial name
- PORT (NCT03037268)
- Testing
- Lytro Plenoptic Camera and 28D lens
- Where
- United States
- Volunteers
- healthy volunteers welcome
- Sponsor
- Wills Eye
Diabetic Retinopathy (DR), Diabete Mellitus
Clinical Efficacy of Implementing an AI-SaMD for Funduscopy Analysis in Patients With Diabetes Mellitus
The objective of this study is to investigate the efficacy of implementing the AI-SaMD(VUNO Med®-Fundus AI™) alongside routine clinical practice for the detection of diabetic retinopathy.
- Conditions
- Diabetic Retinopathy (DR), Diabete Mellitus, Fundus Photography
- Trial name
- SAFE-DM (NCT07378956)
- Testing
- VUNO Med®-Fundus AI™
- Where
- South Korea
- Volunteers
- 340 people
- Sponsor
- VUNO Inc.
Diabetic Retinopathy
Assessing of Artificial Intelligence-based Software Platform for Diabetic Retinopathy Screening
To examine the potential for the detection of diabetic retinopathy (DR) using the artificial intelligence (AI)-based software platform Retina-AI.
- Trial name
- ARTDR (NCT06879834)
- Testing
- taking fundus photos using non-mydriatic fundus camera
- Where
- Ukraine
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- The Filatov Institute of Eye Diseases and Tissue Therapy
Retinal Diseases, Diabetic Retinopathy
Evaluation of Diabetic Retinopathy Using Ultra-Widefield Fundus Images Compared With Two-Field Fundus Images
This study aims to compare the accuracy of evaluating diabetic retinopathy using ultra-widefield fundus images versus two-field fundus images.
- Conditions
- Retinal Diseases, Diabetic Retinopathy, Diabetes Complications, Diabetes Mellitus
- Trial name
- NCT05836194
- Where
- China
- Volunteers
- 769 people
- Sponsor
- Ningbo Eye Hospital
Glaucoma, Hypertension
Know Your Pressures NYC
Dr. Lisa A. Hark (PI and Study Chair) and an interdisciplinary team have designed "Know Your Pressures NYC" to conduct blood pressure (BP)/glaucoma screenings in adults age 40+ to identify undiagnosed and/or uncontrolled…
- Conditions
- Glaucoma, Hypertension, Glaucoma, Suspect, Elevated Blood Pressure
- Trial name
- NCT05992415
- Testing
- Virtual Automated Navigator Intervention with Health Education, Usual Care
- Where
- United States
- Volunteers
- 7,085 people, healthy volunteers welcome
- Sponsor
- Columbia University
Diabetes Mellitus, Glaucoma
Smartphone Screening for Eye Diseases
To validate new screening instruments for eye disease, increase eye care access in underserved communities, and provide a scientifically implemented method to set up programs for eye disease screening.
- Conditions
- Diabetes Mellitus, Glaucoma, Age Related Macular Degeneration, ROP
- Trial name
- NCT03076697
- Testing
- Fundus photography
- Volunteers
- 472 people
- Sponsor
- University of Michigan
Glaucoma
GlaukomAI: Clinical Validation of an AI System for Early Glaucoma Screening
Glaucoma is one of the leading causes of irreversible blindness worldwide. Early diagnosis is crucial to prevent vision loss, but current diagnostic pathways require multiple specialist visits and tests, leading to long waiting…
- Trial name
- GlaukomAIcare (NCT07668193)
- Testing
- GlaukomAI (Sens-vue GlaukomAI)
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Fondazione G.B. Bietti, IRCCS
Deep Learning, Retinal Diseases
AI Classifies Multi-Retinal Diseases
The objective of this study is to establish deep learning (DL) algorithm to automatically classify multi-diseases from fundus photography and differentiate major vision-threatening conditions and other retinal abnormalities.
- Trial name
- NCT04592068
- Testing
- Retinal multi-diseases diagnosed by DL algorithm, Retinal multi-diseases diagnosed by expert panel
- Where
- China
- Volunteers
- 10,000 people
- Sponsor
- Beijing Tongren Hospital
Cerebral Stroke
Conjunctival and Retinal Vascularization and Small Vessel Disease
The purpose of the study is to use a simple photography of conjunctival vessels to search for an association between conjunctival vessels abnormalities and the load of small vessel disease as quantified by MRI in patients with…
- Trial name
- EVACORMA (NCT04447599)
- Testing
- photography of conjunctival vessels
- Where
- France
- Volunteers
- 850 people
- Sponsor
- University Hospital, Toulouse
Type-2 Diabetes, Diabetic Retinopathy
Phenotypes of Nonproliferative Diabetic Retinopathy in DM 2 Patients Identified by OCT, CFP, RLA and mfERG (DIAMARKER)
To characterise phenotypes of Non Proliferative Diabetic Retinopathy (NPDR) progression using multimodal testing/imaging procedures.
- Trial name
- NCT01440660
- Where
- Portugal
- Volunteers
- 20 people
- Sponsor
- Association for Innovation and Biomedical Research on Light and Image
Diabetic Retinopathy, Age Related Macular Degeneration
AI-Assisted Detection of Posterior Segment Diseases: DR, AMD, RVO, and Glaucoma
The purpose of this multi-center study is to evaluate the extent to which AI-assisted fundus image interpretation improves the diagnostic performance of ophthalmologists.
- Conditions
- Diabetic Retinopathy, Age Related Macular Degeneration, Retinal Vein Occlusion, Glaucoma
- Trial name
- NCT07318428
- Testing
- VUNO Med-Fundus AI
- Where
- 5 sites in South Korea
- Volunteers
- 10 people
- Sponsor
- Inje University