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©The Author(s) 2022.
Artif Intell Gastroenterol. Apr 28, 2022; 3(2): 66-79
Published online Apr 28, 2022. doi: 10.35712/aig.v3.i2.66
Published online Apr 28, 2022. doi: 10.35712/aig.v3.i2.66
Ease to use |
Minimal burden on staff |
Automated data entry |
High rate of adherence |
Allow for minimal sampling |
Comfortable to use for the patient |
Use of a proven algorithm to calculate insulin dosage |
Quickly correct hyperglycemia |
Consistently maintain glucose within the predetermined optimal range |
Ensure minimal glycemic variability |
Prevent episodes of hypoglycemia |
Provide easy interface with other patient measurements and data |
Easy to integrate into existing hospital systems |
Avoid the need for repeated data entry |
Maintain results in a comprehensive, standardized database to facilitate multi-center comparison |
- Citation: Juneja D, Gupta A, Singh O. Artificial intelligence in critically ill diabetic patients: current status and future prospects. Artif Intell Gastroenterol 2022; 3(2): 66-79
- URL: https://www.wjgnet.com/2644-3236/full/v3/i2/66.htm
- DOI: https://dx.doi.org/10.35712/aig.v3.i2.66