Clinical trials: Ocular Images
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
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 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.
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
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.
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
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.
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
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