Hospital AI tool predicts low blood sugar in patients up to 24 hours in advance
Cedars-Sinai Health Sciences University investigators developed an AI-based model that can identify hospitalized patients at risk of low blood sugar up to 24 hours before the condition occurs. The long short-term memory (LSTM) ...
21 hours ago
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