The automatic analysis of X-ray/CT images through artificial intelligence models can be useful to automate the clinical scanning procedure. Nonetheless, the limited access to real COVID patient data leads to the need of synthesizing image samples. The goal of this project is to use existing CT/X-ray image datasets to develop a medical image synthesis model that can be used for further recognising healthy vs. unhealthy patients. The proposed models can be easily scaled up and transferred to hospitals and research institutes having a long-term impact on applied AI.