Artificial Intelligence for early detection of circulatory shock in ICU patients
Results indicate that machine learning models can identify early signs of hemodynamic deterioration associated with circulatory shock and may support clinical decision-making in the ICU, however, further improvements are needed for the classification of specific shock subtypes, particularly hypovolemic and cardiogenic...