Development of an artificial intelligence system for the forecasting of infectious diseases

Aim. Here, we provided an overview of artificial intelligence (AI) approaches for developing a system for prediction of infectious diseases and designed a respective step-by-step protocol.

Materials and Methods. Literature search in PubMed and Google Scholar and PubMed.

Key Points. Infectious diseases impose a heavy burden on a healthcare, demanding the development of novel and efficient approaches to prevention as well as sensitive and specific diagnostic tests. Evolution of data science have led to the emergence of promising artificial intelligence (AI) algorithms and tools for the forecasting of infectious diseases. Employing machine learning algorithms, AI systems can rapidly analyze a large amount of data, extract specific disease patterns, and screen for the most efficient AI instruments in relation to specific tasks, thus contributing to prevention, diagnostics, and treatment of infectious diseases in the context of personalized medicine. Importantly, such AI-based systems can determine specific human motor patterns from videos and/or photographs in order to assist physicians in primary diagnosis. Integration of AI tools into the existing healthcare algorithms can be especially useful for public health.

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