Clinical trials: Ocular Images
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
Paranasal Sinus Diseases, Nasal Diseases
Design of an Augmented Reality System by Integration of CT Scan or MRI Data With Endoscopic Images for Video-assisted Endonasal Endoscopic Surgery
The gold standard surgical treatment for benign nasosinus pathologies is endoscopic surgery. This surgery has experienced considerable growth over the last 30 years.
- Conditions
- Paranasal Sinus Diseases, Nasal Diseases, Lacrimal Apparatus Diseases
- Trial name
- NORA (NCT04968561)
- Where
- France
- Volunteers
- 40 people
- Sponsor
- University Hospital, Clermont-Ferrand
Retinal Disease
Study Comparing the P200TxE and P200DTx
The study evaluates image quality between two devices.
- Trial name
- NCT03964831
- Testing
- P200TxE, P200DTx
- Where
- United States
- Volunteers
- 40 people
- Sponsor
- Optos, PLC
Glaucoma
A Study to Evaluate the Clinical Performance of VeriSee GLC for Screening of Glaucoma Suspect Using Color Fundus Images
The goal of this observational study is to evaluate the clinical performance of VeriSee GLC for identifying glaucoma suspects using color fundus images in adult participants.
- Trial name
- NCT07550712
- Where
- Taiwan
- Volunteers
- 773 people
- Sponsor
- Acer Medical Inc.
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
Diabetic Retinopathy, DR, Diabetic Mellitus
Efficacy and Safety of AEYE Diagnostic Screening (AEYE-DS) Software Device for Detection of Diabetic Retinopathy From Digital Funduscopic Images
The goal of this clinical trial is to learn about the performance of the AEYE-DS Software Device to automatically detect more than mild Diabetic Retinopathy (mtmDR) in adult participants diagnosed with Diabetic Mellitus (DM)…
- Trial name
- NCT06241664
- Testing
- AEYE-DS Software
- Where
- United States
- Volunteers
- 601 people
- Sponsor
- AEYE Health Inc
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, Diabetic Macular Edema
Predicting Diabetic Retinopathy From Risk Factor Data and Digital Retinal Images
The objective of this study is to compare the results of a deep learning approach to diabetic retinopathy assessment with results from (1) an in-person examination with an ophthalmologist, and (2) the assessments of optometrists…
- Trial name
- NCT03694145
- Testing
- In-Person Eye Examination
- Where
- 3 sites in United States
- Volunteers
- 300 people
- Sponsor
- Charles Drew University of Medicine and Science
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.
AMD - Age-Related Macular Degeneration, Diabetic Macular Edema
NOTAL-OCT V.2.5 vs Commercial OCT in AMD Patients
Primary objective: To evaluate the level of agreement between the NOTAL-OCT V2.5 and a commercial OCT in the presence of fluid as identified in the OCT images, in the central 10 degrees of the macula in AMD (Age-related Macular…
- Trial name
- NCT03969303
- Testing
- Notal Vision Optical Coherence Tomography Device Version 2.5 (NOTAL-OCT V2.5)
- Where
- United States
- Volunteers
- 287 people
- Sponsor
- Notal Vision Ltd.
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
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
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
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
Eye Diseases
Deep Learning for Classification of Scheimpflug Corneal Tomography Images
Keratoconus is a common disorder. An early diagnosis influences the disease prognosis in the affected patients and prevents postoperative complications in patients with keratoconus considering refractive surgery.
- Trial name
- NCT04497207
- Testing
- Scheimpflug Camera Corneal Tomography
- Where
- Egypt
- Volunteers
- 1,669 people, healthy volunteers welcome
- Sponsor
- Assiut University
Anterior Cruciate Ligament (ACL) Tear
Augmented Reality in Surgery
The goal of this observational study is to learn whether an artificial-intelligence software can reliably recognise the anatomical landmarks used to guide femoral bone tunnel placement on the arthroscopic monitor image during…
- Trial name
- ARS (NCT07636278)
- Testing
- Primary arthroscopic anterior cruciate ligament reconstruction
- Where
- Italy
- Volunteers
- 100 people
- Sponsor
- I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio