Systematic review of Artificial Intelligence-based methods for glycemic control and risk prediction in intensive care units.
Sarwar Muhammad Abdullah, Damaševičius Robertas, Belousovienė Eglė, +1 more·Artificial intelligence in medicine
BACKGROUND: Achieving safe glycemic targets in intensive care remains difficult due to rapidly changing physiology, treatment effects, and measurement noise. OBJECTIVE: We systematically review artificial-intelligence (AI) methods for ICU glycemic management and risk prediction, summarizing datasets, model classes, va…