*6.1.5 Monitoring diabetes complications*

Progress in AI for improving screening and detection of diabetic retinopathy, macular edema, and foot ulcers can transform the gaps in clinical care. The cost of screening and limitation on human and equipment resources is still challenging despite adoption of telemedicine especially in developing countries. The early detection of complications can protect patients from dangerous stages that may later cause blindness and foot amputations. Providers are successfully leveraging deep learning to automate the diagnosis of retinopathy with high accuracy and specificity levels [62].
