AI-driven model supports safer and more precise blood sugar management after heart surgery

Researchers at the Icahn School of Medicine at Mount Sinai have developed a machine learning tool that can help doctors manage blood sugar levels in patients recovering from heart surgery, a critical but often difficult task in the intensive care unit (ICU). The findings appear in npj Digital Medicine.

This article was originally published on MedicalXpress.com

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