Clinical trials: Ocular Images
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)
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
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
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
Acanthamoeba Keratitis, Artificial Intelligence
Acanthamoeba and Artificial Intelligence
Acanthamoeba keratitis, caused by the pathogen Acanthamoeba spp, is recognized worldwide as a severe ocular infection that can pose potential risks to vision.
- Trial name
- NCT06332703
- Volunteers
- 151 people
- Sponsor
- IRCCS Ospedale San Raffaele
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
Maculopathy
Research of Automated Maculopathy Screening Based on AI Techniques Using OCT Images
The investigators expect to develop an algorithm that can interpret OCT images and automated determine whether the macula is normal or not by using OCT image-based deep learning techniques.
- Trial name
- NCT03476291
- Where
- China
- Volunteers
- 20,000 people
- Sponsor
- The First Affiliated Hospital with Nanjing Medical 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
Developing Novel Technique of Measuring C/D Ratio From Digital Stereo Optic Disc Images, Intraobserver Reproducibility of C/D Measurements
A New Reproducible Method of Measuring C/D Ratio of Digital Stereo Images of Optic Disc
Development of a novel computer software that will assist in measuring the cup/disc ratio in digital stereo optic disc images.
- Conditions
- Developing Novel Technique of Measuring C/D Ratio From Digital Stereo Optic Disc Images, Intraobserver Reproducibility of C/D Measurements, Interobserver Variability of C/D Measurements
- Trial name
- NCT01683942
- Volunteers
- 250 people
- Sponsor
- Meir Medical Center
Mental Disorder
AI-Assisted Rapid Warning for Mental Disorders Based on High-Resolution Fundus Imaging and High-Speed Eye-Tracking
This project aims to collect eye-tracking trajectories and fundus imaging data from individuals seeking mental health services. By utilizing artificial intelligence, combining dynamic (eye-tracking) and static (fundus) data, and…
- Trial name
- NCT06511713
- Testing
- routine clinical treatment
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Shanghai Mental Health Center
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