SOURCE-LINKED INTELLIGENCE
DEMONSTRATION OF THE FEASIBILITY OF CLOSED LOOP CONTROL OF BLOOD GLUCOSE IN THE INTENSIVE CARE UNIT SETTING USING A NOVEL ARTIFICIAL INTELLIGENCE BASED GLUCOSE CONTROL SYSTEM - PROJECT SUMMARY FAILURE TO ACHIEVE TIGHT GL
DEMONSTRATION OF THE FEASIBILITY OF CLOSED LOOP CONTROL OF BLOOD GLUCOSE IN THE INTENSIVE CARE UNIT SETTING USING A NOVEL ARTIFICIAL INTELLIGENCE BASED GLUCOSE CONTROL SYSTEM - PROJECT SUMMARY FAILURE TO ACHIEVE TIGHT GLUCOSE CONTROL IN INTENSIVE CARE UNIT (ICU) PATIENTS IS A MAJOR CAUSE OF MORBIDITY AND MORTALITY. THE CURRENT METHOD FOR CONTROLLING GLUCOSE FOR THE ALMOST 6 MILLION PATIENTS ADMITTED TO THE ICU EACH YEAR CONSISTS OF TIME-INTENSIVE, ERROR-PRONE, MANUAL PROCESSES IN WHICH NURSES HAVE TO CHECK PATIENT GLUCOSE LEVELS, CALCULATE DOSING AND RATES FOR INTRAVENOUS (IV) INSULIN, AND ADJ
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- recordType
- award
- region
- US
- value
- 1889276
- unit
- USD
Evidence & attribution
First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.