Use of artificial intelligence with retinal imaging in screening for diabetes-associated complications: systematic review.

Background: Artificial Intelligence (AI) has been used to automate detection of retinal diseases from retinal images with great success, in particular for screening for diabetic retinopathy, a major complication of diabetes. Since persons with diabetes routinely receive retinal imaging to evaluate their diabetic retinopathy status, AI-based retinal imaging may have potential to be used as an opportunistic comprehensive screening for multiple systemic micro- and macro-vascular complications of diabetes.

Methods: We conducted a qualitative systematic review on published literature using AI on retina images to detect systemic diabetes complications.