The accelerated evolution of Generative Artificial Intelligence (GAI) has led to significant transformations across all fields of activity; however, through its capabilities of analysis, modeling, and personalized simulation, it redefines the paradigms of the medical domain. This paper proposes a conceptual architecture designed for the generation of medical images that contain the morphological characteristics associated with the presence of glaucoma. Another complementary direction addressed in this study focuses on the ethical challenges related to patient data confidentiality, the validation of results provided by generative models, and the assurance of their fairness, transparency, and traceability. In this context, the integration of emerging technologies in the medical field must not only meet technical requirements but also ensure compliance with deontological standards and the regulations in force.