This study, ACCESS 2, is looking at whether using a special camera with artificial intelligence (AI) can help more young people with diabetes get screened for diabetic retinopathy (a common eye problem caused by diabetes). The study will use a "Point of Care Autonomous AI diabetic retinopathy exam" where a camera takes pictures of your retina (the back of your eye) and AI software immediately tells you the results. We want to see if this method increases the number of underserved youth who get screened and how accurate the AI system is at finding diabetic retinopathy. You might be able to join if you are 8 to 21 years old and have Type 1 or Type 2 diabetes. The study aims to enroll up to 500 participants.

Study design

This is an interventional study planning to enroll up to 500 participants. It will assess the use of autonomous AI for diabetic retinopathy screening.

What's involved

You will undergo a point-of-care diabetic eye exam using autonomous AI software on a non-mydriatic fundus camera. You will receive immediate results from the AI system.

Compensation

Not stated in the trial record.

Follow-up

The primary endpoint, screening for diabetic retinopathy, is measured at Day 1. Follow-up beyond this is not specified.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.