Clinical trials: Ocular Images
Age-Related Macular Degeneration
Investigating Age-Related Macular Degeneration
Age-related macular degeneration (ARMD) affects older Americans and can lead to irreversible blindness. Although the cause if ARMD is unclear, it appears to be a condition that is affected by both genetic and environmental…
- Trial name
- NCT00342251
- Where
- United States
- Volunteers
- 3,000 people
- Sponsor
- National Eye Institute (NEI)
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
Retinal Disease, Diabetic Retinopathy
Color Fundus Photograph With Experts Labelling
This trial aims to provide a digital retinal image dataset from Pakistan, graded by three specialists according to the severity of Diabetic Retinopathy. The dataset aims to improve research and patient care.
- Trial name
- NCT06287645
- Testing
- Color Fundus Photography/Non-Mydriatic Opthalmic Cameras
- Where
- Pakistan
- Volunteers
- 50,000 people, healthy volunteers welcome
- Sponsor
- Pakistan Council of Scientific and Industrial Research
Diabetic Retinopathy
AutoDx-DR Prospective Clinical Validation Study Protocol
In this study, we will prospectively evaluate the accuracy of a deep-learning based software algorithm in the detection of diabetic retinopathy from 60° wide single-field retinal fundus images.
- Trial name
- NCT04627272
- Testing
- AutoDX-DR
- Volunteers
- 1,539 people
- Sponsor
- Hill-Rom
Periodontal Diseases
Deep Learning-Based Measurement of Keratinized Gingiva Width Using Smartphone-Acquired Clinical Images
This study aims to develop and validate an artificial intelligence-based system for automated measurement of keratinized gingiva width using smartphone-acquired intraoral clinical photographs.
- Trial name
- NCT07689552
- Testing
- Artificial Intelligence-Based Keratinized Gingiva Width Assessment
- Where
- Egypt
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Al-Azhar University
Geographic Atrophy, Healthy
The GA in HSI Study
This study used a retrospective dataset collected by Optina under different study protocols. The target study population will include adults over the age of 50 years, with and without the presence of AMD.
- Trial name
- NCT06860568
- Testing
- Retrospective Study
- Where
- Canada
- Volunteers
- 42 people, healthy volunteers welcome
- Sponsor
- Optina Diagnostics Inc.
Colorectal Liver Metastasis (CRLM), Histopathological Growth Patterns (HGPs)
Deep Learning-Based Analysis of Colorectal Cancer Pathology Images: An Innovative Approach for Predicting Colorectal Cancer Subtypes
Colorectal cancer (CRC) is a leading cause of mortality in China, with metastasis significantly contributing to poor outcomes. Histopathological growth patterns (HGPs) in colorectal liver metastasis (CRLM) provide vital…
- Conditions
- Colorectal Liver Metastasis (CRLM), Histopathological Growth Patterns (HGPs), Artificial Intelligence (AI) in Diagnosis, Vision Transformer (ViT)
- Trial name
- NCT06936098
- Testing
- CRLM surgery
- Where
- China
- Volunteers
- 431 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Ophthalmology, Artificial Intelligence
Detection of Jaundice From Ocular Images Via Deep Learning
Our study presents a detection model predicting a diagnosis of jaundice (clinical jaundice and occult jaundice) trained on prospective cohort data from slit-lamp photos and smartphone photos, demonstrating the model's validity…
- Conditions
- Ophthalmology, Artificial Intelligence, Hepatobiliary Disease
- Trial name
- NCT05682105
- Where
- China
- Volunteers
- 1,633 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
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
Retinal Disease
AI-Assisted Interpretation of Ultra-Widefield Retinal Images
The goal of this prospective observational study is to evaluate the impact of artificial intelligence (AI) assistance on clinician interpretation of ultra-widefield (UWF) retinal images.
- Trial name
- NCT07651943
- Testing
- AI-Assisted Interpretation, Unaided Interpretation
- Where
- 5 sites in China
- Volunteers
- 462 people, healthy volunteers welcome
- Sponsor
- Xiamen Ophthalmology Center Affiliated to Xiamen University
Glaucoma, Age-Related Macular Degeneration
Detecting Eye Diseases Via Hybrid Deep Learning Algorithms From Fundus Images
Eye health is of great importance for quality of life. Some eye diseases can progress and cause permanent damage up to vision loss if they are not treated early.
- Conditions
- Glaucoma, Age-Related Macular Degeneration, Retinal Vein Occlusion, Diabetic Retinopathy
- Trial name
- NCT06213896
- Testing
- Mydriatic Agent, Color Fundus Photography, EyeCheckup v2.0
- Where
- Turkey (Türkiye)
- Volunteers
- 1,528 people, healthy volunteers welcome
- Sponsor
- Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
Thyroid Eye Disease
Development of an AI Solution to Evaluate Clinical Activity of TAO Using Periocular Images Taken by Smartphones in Patients With Thyroid Dysfunction
This study was conducted to develop an AI solution to evaluate clinical activity score (CAS) of thyroid associated orbitopathy (TAO) using periocular selfie images taken by smartphones in patients with thyroid dysfunction.
- Trial name
- NCT05731154
- Testing
- taking periorbital selfie images using smartphones
- Where
- South Korea
- Volunteers
- 100 people
- Sponsor
- Seoul National University Bundang Hospital
COVID-19
Ocular Findings and Viral Persistence in Ocular Fluids in COVID-19 Survivors
Background: Some people who have had COVID-19 experience changes in the eye. Sometimes these changes are subtle and may not affect vision.
- Trial name
- NCT04665752
- Where
- United States
- Volunteers
- 8 people
- Sponsor
- National Eye Institute (NEI)
Ophthalmology, Artificial Intelligence (AI)
Detection of Systemic Diseases Such as Hepatobiliary Diseases From Ocular Images Via Deep Learning
Oculomics is an emerging interdisciplinary field that deciphers multi-dimensional, high-throughput ocular data to predict, diagnose, and monitor systemic diseases and health span.In recent years, artificial Intelligence may…
- Conditions
- Ophthalmology, Artificial Intelligence (AI), Hepatobiliary Diseases, Systemic Diseases
- Trial name
- NCT07581925
- Testing
- Systemic diseases such as Hepatobiliary Disorders
- Where
- China
- Volunteers
- 730 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Diabetes Mellitus, Diabetic Retinopathy
Efficacy and Safety of AEYE-DS Software Device for Automated Detection of Diabetic Retinopathy From Digital Fundus 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 fundus images using Artificial Intelligence (AI)-based…
- Trial name
- NCT04612868
- Testing
- AEYE Software Device
- Where
- United States
- Volunteers
- 531 people
- Sponsor
- AEYE Health Inc
Obtaining OCT (Optical Coherence Tomography) Images
Self-Monitoring OCT
The purpose of this research study is to test participants ability to obtain OCT images of the eyes using an OCT device that is comparable to FDA-approved OCT devices on the market, without the help of an eye technician.
- Trial name
- NCT07584798
- Testing
- Self-administered OCT imaging system, Technician-acquired OCT imaging
- Where
- United States
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Case Western Reserve University
Diabetic Retinopathy, Glaucoma
Evaluation of The Performance of Retinow AI Software
Eye diseases are a major public health problem worldwide and one of the main causes of vision loss. Diseases such as diabetic retinopathy, glaucoma and macular degeneration in particular can lead to serious vision loss and…
- Conditions
- Diabetic Retinopathy, Glaucoma, Macular Degeneration
- Trial name
- NCT06645964
- Where
- Turkey (Türkiye)
- Volunteers
- 915 people, healthy volunteers welcome
- Sponsor
- Retinow Health Technologies and R&D Industry Joint Stock Company
Macular Hole
Fundus Autofluorescence After Macular Hole Surgery
Funds autofluorescence (FAF) indicates hyper fluorescence at the macular hole in the patients with macular hole. Investigators investigate the association between FAF and visual acuity, recovery of foveal microstructure, and FAF…
- Trial name
- NCT02628262
- Testing
- Vitrectomy with internal limiting membrane removal and gas tamponade
- Where
- Japan
- Volunteers
- 27 people
- Sponsor
- Makoto Inoue