Diabetic Retinopathy (DR) is an eye disease characterized by abnormal changes at the level of the retina that is very common in people with Diabetes Mellitus. The proper monitoring and treatment can prevent the disease from seriously affecting the patient, however, due to the need for specialized professionals and the cost of the process, it can be difficult to make periodic diagnoses, running the risk of blindness. In order to contribute to the solution of this ystems, in recent years there have been yste that use artificial intelligence technology, more precisely applying Deep Learning (DL) techniques for the automated recognition of the DR symptoms present in the retina. In this article, the bases for the detection of DR are presented, as well as the DL techniques used by various researchers for automated diagnosis and the performance of these ystems in this field.