New eye disease screening trial

This study tests a smartphone-based system designed to help detect diseases affecting the front of the eye. Researchers will develop and refine this mobile tool to see if it can accurately identify common eye conditions using photos taken on a phone or with standard eye-examination equipment.

This trial is testing an automated tool that helps screen for diabetic retinopathy, a complication of diabetes that affects the eyes. The goal is to see if the tool can accurately detect the condition, which may help with early treatment and prevent vision loss.

This research tests whether a computer program can help doctors diagnose eye diseases using special scans called OCT. If you have a common retinal condition and have had these scans, you may be eligible to help improve how eye diseases are found.

This trial uses artificial intelligence to analyze eye images and help doctors diagnose eye diseases. It looks at images from routine care to train and test the AI system.

This study tests new ways to diagnose glaucoma (and sometimes related eye conditions) using eye exams and measurements. It may help improve how doctors detect glaucoma earlier and more accurately.

This trial tests a new way to measure your eyeglass prescription using a mobile device, compared with a traditional method called retinoscopy. It may help you get a quick and accurate vision check without needing special equipment.