Artificial intelligence (AI) can be understood essentially as the use of devices which have the capacity to mimic human cognitive processes, in turn, capable of learning and solving complex problems [1]. The AI nomenclature was publicly introduced at the Dartmouth conference in 1956, since then, there have been significant advances, especially in the application of AI models in images, contributions which corroborated the resurgence of the theme in mid-2012, being denominated as a pillar for the “fourth industrial revolution” [2]. Within the scenario of health services, it was not different, due to the potential of AI models being able to reduce the time until diagnosis in several chronic-degenerative diseases [3-5]. Despite notable and expressive advances, AI is understood by health professionals as a single device, a fact that is misinterpreted, AI involves a set of terms which are hierarchically divided into: machine learning (ML), deep learning (DL) and convolutional neural networks (CNNs) (Figure 1) [6].