A risk score based on 13 independent risk factors can accurately predict the prognosis of patients admitted to the emergency department (ED) with acute heart failure (AHF), a study has shown.
Artificial intelligence tools are beginning to move from research experiments into real-world emergency department workflows, raising new questions about how algorithms should be used in high-stakes ...
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