One of the time-consuming and challenging tasks that healthcare professionals must regularly complete is medical diagnosis. An accurate and timely examination of each patient is crucial to establishing an effective treatment plan. This evaluation procedure can occasionally take a long time due to the quantity of tests that need to be done, which can have a detrimental impact on the patient's recovery. The goal of this work is the creation of new software that, using artificial intelligence (AI), aids medical professionals in helping patients be diagnosed and in reducing the likelihood that they will contract a particular disease. This software will be developed using test data analytics and readily available demographic data. The system enables the storage of several Deep Learning (DL) models that have been previously developed for the diagnosis of various illnesses. Based on the available medical data, these models provide predictions. One of these models has been successfully evaluated in the use case of stroke event diagnosis.