Researchers are exploring the use of machine learning to analyze the severity of covid-19 cases and support clinical decision-making. Various studies are investigating different approaches, including the use of respiratory microbiome profiles, explainable algorithms, and ensemble methods, to predict hospitalization needs and outcomes. The development of these systems aims to improve the accuracy of covid-19 diagnosis and treatment decisions, with some studies focusing on specific populations, such as pediatric patients.