Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis

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Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis
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AI found to perform better than humans in suggesting appropriate treatment steps in sepsis cases tuvienna

]. Artificial intelligence holds great promise to enhance the practice of intensive care and the management of sepsis in the ICU; however, the current state of AI in intensive care does not support its routine use due to regulatory reasons, but also because uncertainty surrounds how these models could be included in daily practice, and good prospective studies still need to be included. Second, data used to train and test the model originate from a single medical center over several years.

Decision making in the ICU typically takes place during the once-daily rounds and the cumulative 24 h dose allows for different treatment regimens to be compared regardless of substance and timing. Finally, we analyzed all clinical data from onset of sepsis until discharge from the ICU, which most likely covers a significantly longer period than the duration of the septic shock.

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