“…GANs can be considered a type of machine learning framework composed of two competing neural networks. These networks have been applied to a variety of formats such as the generation of images or videos (Burlina, Joshi, Pacheco, Liu, & Bressler, 2019;Vallez, Mata, Cotorro, & Deniz, 2019), music, text conversion or data generation synthetics (Bautista & Inventado, 2021;Goodfellow et al, 2014) and in different fields of knowledge such as in the diagnosis of diseases such as cancer in preventive medicine (Burlina et al, 2019;Vilardell et al, 2020), dissemination of synthetic data from patients with diabetes (Kaur et al, 2020) and the provision of freely accessible geological information for educational and research purposes (Lishchuk, Haller, Martinsson, & Bauer, 2021), among many other uses that nourish specialized academic literature.…”