Clinical trials: Ocular Images
Covid19
Eye Detection to Identify Novel Coronavirus Infection
The eye characteristics of patients with COVID-19 and those without the disease were analyzed, and whether they had the disease or not was judged according to the eye characteristics.
- Trial name
- NCT04907981
- Testing
- Novel coronavirus infection
- Where
- China
- Volunteers
- 232 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Vision-Threatening Retinal Lesions, Urgent Referral Retinal Findings
Artificial Intelligence-Assisted Lesion-Based Urgent Referral Triage of Ultra-Widefield Retinal Images
his study evaluates the clinical utility of an artificial intelligence (AI)-assisted lesion-based urgent referral triage system for ultra-widefield (UWF) retinal images.
- Conditions
- Vision-Threatening Retinal Lesions, Urgent Referral Retinal Findings, Retinal Detachment, Pre-retinal Hemorrhage
- Trial name
- ALERT-UWF (NCT07643129)
- Testing
- AI-Assisted UWF Lesion-Based Triage System, Unassisted Interpretation
- Where
- China
- Volunteers
- 11 people, healthy volunteers welcome
- Sponsor
- Xiamen Ophthalmology Center Affiliated to Xiamen University
Trachoma
Smartphone App for Taking Images of Conjunctivae
Trachomatous inflammation-follicular (TF) is diagnosed by looking for clinical signs of infection of everted eyelids (conjunctivae) of children.
- Trial name
- NCT03997487
- Testing
- TOFTEE
- Where
- Tanzania
- Volunteers
- 125 people, healthy volunteers welcome
- Sponsor
- London School of Hygiene and Tropical Medicine
Diabetic Retinopathy
Multicenter Diagnostic Clinical Performance Study For Automated Detection of Diabetic Retinopathy
This study is a retrospective study to assess the efficacy and accuracy of the EyeCheckup software in screening for diabetic retinopathy in healthcare settings.
- Trial name
- NCT05471986
- Testing
- Color Fundus Photography/Non-Mydriatic Opthalmic Cameras
- Volunteers
- 900 people, healthy volunteers welcome
- Sponsor
- Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
AI (Artificial Intelligence), Mammary Cancer
Experiment on the Use of Innovative Computer Vision Technologies for Analysis of Medical Images in the Moscow Healthcare System
It is planned to integrate various services based on computer vision technologies for analysis of the certain type of x-ray study into Moscow Unified Radiological Information Service (hereinafter referred to as URIS).
- Conditions
- AI (Artificial Intelligence), Mammary Cancer, Lung Cancer, X-Rays; Lesion
- Trial name
- NCT04489992
- Where
- Russia
- Volunteers
- 133,000 people, healthy volunteers welcome
- Sponsor
- Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department
Glaucoma Diagnosis
How Accurately Does the Diopsys Visual Evoked Potential (VEP) Vision Testing System Detect Glaucoma?
Evaluate sensitivity and specificity of NOVA-DN visually evoked potentials (VEP) protocol and new software method (Corda) for glaucoma detection using optical coherence tomography (OCT) images to differentiate between normal…
- Trial name
- NCT02622178
- Testing
- Optical Coherence Tomography, Visual evoked potential
- Where
- United States
- Volunteers
- 136 people, healthy volunteers welcome
- Sponsor
- Wills Eye
Ophthalmological Disorder
Development and Validation of a Deep Learning System for Multiple Ocular Fundus Diseases Using Retinal Images
Retinal images can reflect both fundus and systemic conditions (diabetes and cardiovascular disease) and firstly to be used for medical artificial intelligence (AI) algorithm training due to its advantages of clinical…
- Trial name
- NCT04213430
- Testing
- diagnostic
- Where
- China
- Volunteers
- 300,000 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Jaundice, Deep Learning
A Prospective Study: Smart Phone Application for Measure Serum Bilirubin Through Sclera Images
The primary efficacy endpoints are the standard deviation and coefficient of determination (R2) between predicted and actual values for the bilirubin regression model, and the grading accuracy for the jaundice severity…
- Conditions
- Jaundice, Deep Learning, Hyperbilirubinemia, Sclera
- Trial name
- NCT06421844
- Where
- China
- Volunteers
- 270 people, healthy volunteers welcome
- Sponsor
- Air Force Military Medical University, China
Distance Viewing, Prolonged Near Viewing
Measuring How Quickly the Eye Focuses After Sustained Viewing of Close-up Images and Videos
In this experiment, subjects will view a cross pattern on the screen and be asked to focus their eyes on it. The cross pattern will look like it is moving towards and away from the eye in a back-and-forth motion.
- Trial name
- NCT07679048
- Testing
- Near viewing first, Distant viewing first
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Rochester Institute of Technology
Training Group, Sensitivity
Developing and Testing a Low Cost Opportunistic Glaucoma Screening Model by Non-physician Graders in Vietnam
This study aims to develop a training course for screening glaucoma using fundus images obtained during diabetic retinopathy screening by non-physician graders.
- Trial name
- NCT05151757
- Testing
- A standard image training set
- Where
- Vietnam
- Volunteers
- 42 people, healthy volunteers welcome
- Sponsor
- Queen's University, Belfast
Vitreomacular Adhesion
Prevalence of Vitreomacular Adhesion in Patients 40 Years and Older
The purpose of this study is to evaluate the prevalence of vitreomacular adhesion (VMA) in patients 40 years and older using Spectral Domain Optical Coherence Tomography.
- Trial name
- VAST (NCT02160340)
- Where
- 18 sites in United States
- Volunteers
- 1,584 people, healthy volunteers welcome
- Sponsor
- Nova Southeastern University