Method and systems for predicting medical conditions and forecasting rate of infection of medical conditions via artificial intellidence models using graph stream processors

A graph stream processing system, comprising:

• an inference module operative to execute instructions on a plurality of graph streaming processors (GSP) to process a digital image associated with a patient, generating an initial prediction utilizing pre-trained weights in a mixed precision deep learning model;
• and
• a post-processing module operative to execute instructions on the GSP to:
• receive a digital description of at least a symptom of one or more medical conditions in a first format;
• perform an (AI based) initial prediction of the one or more medical conditions by processing the digital description through a pre-trained deep learning model to generate a probability of the one or more medical conditions comprising of Covid-19;
• adjust the probability of the one or more medical conditions,
• identify a location in the description of the one or more medical conditions, and
• forecast a rate of spread of the one or more medical conditions and a spread of the one or more medical conditions over time based on a plurality of digital descriptions and additional medical data.