Since the emergence of the pandemic caused by the SARS-CoV-2 virus (coronavirus disease or COVID-19), the generalities since its emergence, from the clinical picture, as well as the findings observed in AI (Artificial Intelligence) diagnostic methods applied to medicine personalized. This article is a literature review regarding the use of personalized medicine combined with artificial intelligence to monitor people with covid-19. The continuous evolution of intelligent systems aims to provide better reasoning and more efficient use of collected data. This use is not restricted to retrospective interpretation, that is, to provide diagnostic conclusions. It can also be extended to prospective interpretation, providing an early prognosis. That said, physicians who could be assisted by these systems find themselves in the gap between the clinical case and in-depth technical analyses. What is missing is a clear starting point for approaching the world of machine learning in medicine.