Hospital glucose management has long relied on reactive treatment strategies, especially sliding-scale insulin protocols that respond to blood glucose after it has already risen. While this approach remains common, healthcare systems are increasingly exploring AI solutions for inpatient diabetes care that predict glucose changes before they become dangerous. Instead of …
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