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Artificial Intelligence Predicts the Adverse Outcome in ED During Covid-19 Pande

Dr. Butler presents a CHOIR-funded project that demonstrated the clinical data available at time of admission to ED can be used in machine learning models to assess possible risk of ARDS, need for ICU admission as well as risk of mortality. In addition, chest radiographs can be inputted into deep learning models to further assess the development of ARDS, need of ICU admission and risk of death.