Applied Artificial Intelligence for real-time risk assessment of patients with COVID-19

As the COVID-19 pandemic is unfolding, more and more patient data are generated. These can be used to develop new, data-driven decision support models for the benefit of future patients. Based on the latest knowledge about artificial intelligence (AI), analyses of patient records and courses of treatments, the project aims to create a model for estimating newly diagnosed COVID-19 patients' risk of needing intensive care and ventilator breathing support based on the patient's available health data. The hope is that such models can be used by frontline staff when dealing with new COVID-19 patients as well as by planners in the health service. In addition, the project will seek to identify patterns in the patient data that may form the basis for new recommendations on how best to treat COVID-19 patients in the future. The project team is centered around existing clinical and epidemiological research groups at Rigshospitalet and Bisbebjerg Hospital who have an interest in AI, with support from a team of AI experts from the Department of Computer Science at the University of Copenhagen.