Massachusetts Eye and Ear Infirmary
The goal of this clinical trial is to learn if a new screening approach including an artificial intelligence algorithm that analyzes fundus photographs, measurement of eye pressure and visual field testing works to screen for glaucoma. Participants will: Have an image of their fundus (back of the eye) taken as part of their diabetic eye screening Have a measurement of their eye pressure If needed, have a test of their side vision using a headset
Study Overview: This study is a prospective, interventional clinical trial designed to evaluate the effectiveness of an artificial intelligence (AI)-based screening program within community health settings. This study targets especially diabetic patients because they have higher risks of developing glaucoma. By integrating glaucoma screening into existing diabetic eye disease (DED) screenings, the study aims to identify cases of glaucoma earlier, thereby preventing or delaying progression to blindness. Background: Glaucoma is a chronic eye disease that causes progressive optic nerve damage, o…
* Individuals with diabetes undergoing AI-based screening for diabetic retinopathy using the LumineticsCore (Digital Diagnostics) system at primary care centers. * Individuals who are able and willing to provide informed consent for participation in the study.
AI analysis of fundus photographs to detect signs of glaucoma, added to AI-based diabetic eye disease screening
Intraocular pressure measurement by Icare tonometer
Virtual Reality Visual Field Testing by the Olleyes device for participants suspected of having glaucoma