Clinical trials: Ocular Images
Sjogren's Syndrome
An AI Algorithm for Lymphocyte Focus Score of Minor Salivary Gland Biopsy Samples for Diagnosing Sjogren's Syndrome
The aim of this research is to discover an artificial intelligence (AI) algorithm for lymphocyte focus score in whole slide images of labial minor salivary gland (SG) biopsy samples for diagnosing Sjogren's Syndrome, in order to…
- Trial name
- NCT06437652
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
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
Macular Degeneration, Age-Related Macular Degeneration
The Focal Electro-Oculogram in Macular Disease
Background: Maculopathies are eye conditions that affect the center of the retina. Retina health depends on the retinal pigment epithelium (RPE), a layer behind the retina.
- Trial name
- NCT02225119
- Where
- United States
- Volunteers
- 39 people
- Sponsor
- National Eye Institute (NEI)
Diabetic Retinopathy
A Multi-center Study on the Artificial Intelligence Enabled Diabetic Retinopathy Screening Based on Fundus Images
Early detection and intervention of diabetic retinopathy (DR) is critical in preventing DR-related vision loss among type 1 (T1DM) and type 2 diabetic mellitus (T2DM) patients, currently estimated at over 100 million in China…
- Trial name
- NCT03602989
- Testing
- AI-enabled Diabetic Retinopathy Screening Software
- Where
- 3 sites in China
- Volunteers
- 1,000 people
- Sponsor
- Shenzhen SiBright Co., Ltd.
Intraocular Inflammation, Retinal Vascular Occlusion
Analysis of Imaging Features From Patients Treated With Brolucizumab in the Post-marketing Setting With Reports of Retinal Vasculitis and/or Retinal Vascular Occlusion
This non-interventional descriptive study was undertaken to better understand the most common imaging features associated with inflammation arising in the post-marketing setting when brolucizumab was prescribed in routine…
- Trial name
- NCT05657158
- Testing
- Brolucizumab
- Where
- Switzerland
- Volunteers
- 198 people
- Sponsor
- Novartis Pharmaceuticals
Diabetes Mellitus, Diabetic Retinopathy
Efficacy and Safety of AEYE-DS Software Device for Automated Detection of Diabetic Retinopathy From Digital Funduscopic Images
AEYE-DS is a software device developed to increase compliance with diabetic retinopathy screening by automatically detecting more-than-mild diabetic retinopathy from digital funduscopic images using AI-based software.
- Trial name
- NCT05857943
- Testing
- AEYE-DS Software
- Where
- 3 sites in United States
- Volunteers
- 363 people
- Sponsor
- AEYE Health Inc
Diabetic Retinopathy, Diabetic Eye Problems
Detection and Classification of Diabetic Retinopathy From Posterior Pole Images With A Deep Learning Model
The duration of diabetes is directly related to eye complications. Diabetic retinopathy affects 80 percent of those who have had diabetes for 20 years or more.
- Conditions
- Diabetic Retinopathy, Diabetic Eye Problems, Diabetic Macular Edema
- Trial name
- NCT04805541
- Testing
- Color Fundus Photography, Mydriatic Agent, EyeCheckup - AI Based DR Screening
- Where
- Turkey (Türkiye)
- Volunteers
- 900 people
- Sponsor
- Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
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
Cytomegalovirus Retinitis
Deep Learning-based System and AIDS-related Cytomegalovirus Retinitis
Ophthalmological screening for cytomegalovirus retinitis (CMVR) for HIV/AIDS patients is important. However, the manual screening with fundus imaging is laborious and subjective.
- Trial name
- NCT04831333
- Where
- China
- Volunteers
- 50 people
- Sponsor
- Kuifang Du
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
Diabetic Retinopathy
The Santa Cruz Diabetic Retinopathy Utilizing Artificial Intelligence Study
In this clinical trial, we plan to evaluate the usefulness of artificial intelligence (AI) software paired with a handheld retinal camera to compare diabetic retinopathy status in Bolivian patients as read by retina specialists…
- Trial name
- SC-DRAI (NCT03912961)
- Testing
- Picture of the retina with a handheld retinal camera
- Where
- 3 sites in Bolivia
- Volunteers
- 1,034 people
- Sponsor
- Retina Global
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