Clinical trials: Fundus Photography, open to volunteers
Glaucoma, Hypertension
Know Your Pressures NYC
Dr. Lisa A. Hark (PI and Study Chair) and an interdisciplinary team have designed "Know Your Pressures NYC" to conduct blood pressure (BP)/glaucoma screenings in adults age 40+ to identify undiagnosed and/or uncontrolled…
- Conditions
- Glaucoma, Hypertension, Glaucoma, Suspect, Elevated Blood Pressure
- Trial name
- NCT05992415
- Testing
- Virtual Automated Navigator Intervention with Health Education, Usual Care
- Where
- United States
- Volunteers
- 7,085 people, healthy volunteers welcome
- Sponsor
- Columbia University
Glaucoma
GlaukomAI: Clinical Validation of an AI System for Early Glaucoma Screening
Glaucoma is one of the leading causes of irreversible blindness worldwide. Early diagnosis is crucial to prevent vision loss, but current diagnostic pathways require multiple specialist visits and tests, leading to long waiting…
- Trial name
- GlaukomAIcare (NCT07668193)
- Testing
- GlaukomAI (Sens-vue GlaukomAI)
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Fondazione G.B. Bietti, IRCCS
Pregnancy
Retinal Vascular Changes During Pregnancy
The goal of this study is to better understand how the back part of the eye-called the retina and the choroid-changes during pregnancy.
- Trial name
- NCT06311617
- Testing
- Optical coherence tomography
- Where
- United States
- Volunteers
- 90 people
- Sponsor
- Vanderbilt University Medical Center
Age-Related Macular Degeneration (AMD), Diabetic Retinopathy (DR)
Artificial Intelligence-Aided Screening for Patients With Diabetic Retinopathy and Age-related Macular Degeneration in Family Medicine and Geriatric Medicine Outpatient Clinics
Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are leading causes of vision loss, with rising incidence due to aging populations and increasing diabetes prevalence.
- Trial name
- NCT07069647
- Testing
- VeriSee AI-assisted screening tools for diabetic retinopathy and age-related macular degeneration, Standard fundus photography with physician interpretation
- Where
- Taiwan
- Volunteers
- 4,300 people
- Sponsor
- National Taiwan University Hospital
Diabetic Retinopathy
Assessing of Artificial Intelligence-based Software Platform for Diabetic Retinopathy Screening
To examine the potential for the detection of diabetic retinopathy (DR) using the artificial intelligence (AI)-based software platform Retina-AI.
- Trial name
- ARTDR (NCT06879834)
- Testing
- taking fundus photos using non-mydriatic fundus camera
- Where
- Ukraine
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- The Filatov Institute of Eye Diseases and Tissue Therapy
Diabetic Retinopathy (DR), Diabete Mellitus
Clinical Efficacy of Implementing an AI-SaMD for Funduscopy Analysis in Patients With Diabetes Mellitus
The objective of this study is to investigate the efficacy of implementing the AI-SaMD(VUNO Med®-Fundus AI™) alongside routine clinical practice for the detection of diabetic retinopathy.
- Conditions
- Diabetic Retinopathy (DR), Diabete Mellitus, Fundus Photography
- Trial name
- SAFE-DM (NCT07378956)
- Testing
- VUNO Med®-Fundus AI™
- Where
- South Korea
- Volunteers
- 340 people
- Sponsor
- VUNO Inc.