Application of Artificial Intelligence Methods Depending on the Tasks Solved during COVID-19 Pandemic

Health systems challenges that emerged during the COVID-19 pandemic, such as a lack of resources and medical staff, are forcing solutions which optimize healthcare performance. One is development clinical decision support (CDSS) based on artificial intelligence (AI). We classified AI-based decision-supporting used pandemic evaluated mathematical algorithms present in these systems. Materials methods: we searched for articles relevant to aim study Scopus publication database. Results: depending purpose system identified three groups tasks: organizational, scientific diagnostic. Tasks predicting parameters, searching analogies progression, prioritization patients, use telemedicine solved purposes organization. Artificial drugs vaccine development, alongside personalized treatment programs, apply new knowledge acquisition. Diagnostic tasks include models assessing outcomes, prediction disease severity, analysis factors influencing complications. Conclusion: methods can be effectively implemented solving face pandemic.