Clinical trials: Ocular Images
Posterior Chamber Phakic Intraocular Lens, Vault
Study on the Diagnostic Efficacy of ICL Selection and Prediction Depth Model Based on Eye Images
To evaluate the diagnostic efficacy of deep learning network model in implantable collamer lens selection and prediction in a multicenter cross-sectional study
- Conditions
- Posterior Chamber Phakic Intraocular Lens, Vault, Deep Neural Network, Myopia
- Trial name
- NCT06669728
- Testing
- AI diagnostic algorithm
- Where
- China
- Volunteers
- 326 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
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
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
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
Thyroid Eye Disease, TED
Multi-modal Medical Images for Extraocular Muscle Fibrosis Assessment
The purpose of this study was to evaluate the elasticity of the extraocular muscles in different stages of thyroid eye disease and to examine the correlation of MRI parameters (native T1 value and ECV) and elasticity for the…
- Trial name
- NCT07056114
- Testing
- The patients with active or inactive TED
- Where
- China
- Volunteers
- 58 people, healthy volunteers welcome
- Sponsor
- Tianjin Eye Hospital
Microvascular Disease, Retinal Disease
Collecting Data on Retinal Blood Blood Flow and Blood Vessel Shape/Appearance Using an Investigational Device, XyCAM CRE, and to Then Compare Those Images With Images Collected From a Patient's Routine Clinical Examination.
The primary objective of the XyCAM CRE Camera Study is to evaluate retinal blood flow, choroidal blood flow, and retinal structural features and their association with the progression and characterization of retinal diseases…
- Trial name
- NCT07641738
- Testing
- XyCAM CRE Imaging
- Where
- United States
- Volunteers
- 350 people, healthy volunteers welcome
- Sponsor
- Stuart Terry Eye Associates
Retinal Diseases, Artificial Intelligence
Artificial Intelligence System for Assessing Image Quality of Fundus Images and Its Effects on Diagnosis
Fundus images are widely used in ophthalmology for the detection of diabetic retinopathy, glaucoma and other diseases. In real-world practice, the quality of fundus images can be unacceptable, which can undermine diagnostic…
- Trial name
- NCT04289064
- Testing
- Taking a fundus image
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
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
Keratoconus, Eye Diseases
Development of a Keratoconus Detection Algorithm by Deep Learning Analysis and Its Validation on Eyestar Images
Monocentric clinical study to develop an imaging analysis algorithm for the Eyestar 900 to identify keratoconus corneas and improve biometry for intraocular lens calculations
- Conditions
- Keratoconus, Eye Diseases, Cataract, Corneal Ectasia
- Trial name
- DKDA (NCT04763785)
- Testing
- Corneal tomography with Eyestar 900, Corneal tomography with Pentacam, Biometry with IOL-Master
- Where
- Switzerland
- Volunteers
- 4,800 people, healthy volunteers welcome
- Sponsor
- Insel Gruppe AG, University Hospital Bern
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
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
Glaucoma, Suspect, Glaucoma
Validation of an Automatic Analysis Algorithm of the Probability of Glaucoma From Optic Disc Images
Clinical, cross-sectional and prospective study to assess the images of the posterior pole of the retina of patients from the Glaucoma Unit of the IOBA and the Hospital Clínico Universitario de Valladolid during the period…
- Conditions
- Glaucoma, Suspect, Glaucoma, Ocular Hypertension
- Trial name
- NCT04972695
- Testing
- Fundus Photographs (retinographies)
- Where
- Spain
- Volunteers
- 615 people, healthy volunteers welcome
- Sponsor
- Instituto Universitario de Oftalmobiología Aplicada (Institute of Applied Ophthalmobiology) - IOBA
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
Ophthalmology, Artificial Intelligence
Screening and Identifying Hepatobiliary Diseases Via Deep Learning Using Ocular Images
Artificial Intelligence may provide insight into exploring the potential covert association behind and reveal some early ocular architecture changes in individuals with hepatobiliary disorders.
- Conditions
- Ophthalmology, Artificial Intelligence, Hepatobiliary Disease
- Trial name
- NCT04213183
- Testing
- Hepatobiliary Disorders
- Where
- China
- Volunteers
- 1,789 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen 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
Ocular Images
Slit Lamp Model SL-D-301 and DC-4 Digital Camera Attachment
The purpose of the evaluation is to confirm operability and usability of the SL-D301 Slit Lamp and the DC-4 digital camera attachment by conducting a usability evaluation and subsequently submitting a questionnaire and hold an…
- Trial name
- NCT02851147
- Testing
- SL-D301, DC-4, SL-3G
- Where
- United States
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Topcon Medical Systems, Inc.
Subjects Presenting With Normal or With Ocular Pathology
Clinical Validation of New OCT System
To demonstrate clinical substantial equivalence of DRI OCT-1 as comparable to the commercially available Cirrus
- Trial name
- NCT01809704
- Where
- 3 sites in United States
- Volunteers
- 87 people, healthy volunteers welcome
- Sponsor
- Topcon Medical Systems, Inc.
Vessels of the Eye Fundus
Creation of a Database of Images of the Eye With the Holographic Doppler Laser
Many retinal pathologies are of vascular origin. In order to better understand their pathophysiology and make an accurate diagnosis, it is essential to visualise and quantify blood flow.
- Trial name
- IREDO (NCT06644196)
- Testing
- Acquisition of images/videos of the bilateral fundus with the holographic doppler laser
- Where
- France
- Volunteers
- 123 people, healthy volunteers welcome
- Sponsor
- Fondation Ophtalmologique Adolphe de Rothschild
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